WO2023216398A1 - Lightning effect test waveform splicing method and system - Google Patents

Lightning effect test waveform splicing method and system Download PDF

Info

Publication number
WO2023216398A1
WO2023216398A1 PCT/CN2022/102885 CN2022102885W WO2023216398A1 WO 2023216398 A1 WO2023216398 A1 WO 2023216398A1 CN 2022102885 W CN2022102885 W CN 2022102885W WO 2023216398 A1 WO2023216398 A1 WO 2023216398A1
Authority
WO
WIPO (PCT)
Prior art keywords
wave
data
waveform
peak point
point
Prior art date
Application number
PCT/CN2022/102885
Other languages
French (fr)
Chinese (zh)
Inventor
陈思远
王津
刘影
黄学军
Original Assignee
苏州泰思特电子科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 苏州泰思特电子科技有限公司 filed Critical 苏州泰思特电子科技有限公司
Publication of WO2023216398A1 publication Critical patent/WO2023216398A1/en

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/04—Measuring peak values or amplitude or envelope of ac or of pulses
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/02—Measuring characteristics of individual pulses, e.g. deviation from pulse flatness, rise time or duration
    • G01R29/023—Measuring pulse width
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/02—Measuring characteristics of individual pulses, e.g. deviation from pulse flatness, rise time or duration
    • G01R29/027—Indicating that a pulse characteristic is either above or below a predetermined value or within or beyond a predetermined range of values
    • G01R29/0276—Indicating that a pulse characteristic is either above or below a predetermined value or within or beyond a predetermined range of values the pulse characteristic being rise time
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/02—Preprocessing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction

Definitions

  • This application belongs to the technical field of aviation lightning protection experiments, and in particular relates to a lightning effect test waveform splicing method and splicing system.
  • the aircraft lightning direct effect test divides the simulated lightning impulse current into multiple different components, and selects different current components and their combinations according to the lightning attachment area for testing.
  • Current component A is the initial peak current, with a peak value of 200kA and a duration of less than or equal to 500 ⁇ s
  • current component B is an intermediate current with an average amplitude of 2kA and a duration of less than or equal to 5ms
  • current component C is a continuous current with a duration of 0.25 to 1s
  • current component D is the repetitive discharge current, with a peak value of 100kA and a duration of less than or equal to 500 ⁇ s.
  • the lightning attachment area includes 1A, 1B, 2A, 2B, 3, a total of 5 areas.
  • Area 1A is a surface with a high initial attachment probability of lightning and a high probability that the attachment point position changes with time. It is tested using a combination of A and B components.
  • Area 1B is a surface with a high initial lightning attachment probability and a low probability of the attachment point position changing with time. Surface, use A, B, C, D component combination test;
  • Area 2A is a surface where the probability of lightning being blown by the airflow from the initial attachment point position is high and the attachment point position changes with time.
  • area 2B is a surface where the probability of lightning being blown by the airflow from the initial attachment point position is high and the attachment point position changes with time with a low probability, using the B, C, and D component combination test; area 3 is the remaining The surface is tested using a combination of components A and C.
  • the current existing technology uses four generating devices A, B, C, and D to respectively output the four current components of the test, and then obtains the waveform through the acquisition device to verify the reliability of the test.
  • generating devices A, B, C, and D there are two collection methods:
  • Each generating device uses a separate acquisition device. This method can capture the waveform characteristics of a single current component, but cannot obtain the characteristics of a combination of components;
  • All generating devices use one acquisition device. This method can capture the characteristics of a combination of current components, but the captured waveform is discontinuous and cannot obtain the waveform characteristics of each current component.
  • the present invention provides a lightning effect test waveform splicing method and system.
  • a lightning effect test waveform splicing method which obtains the waveform discrete data combination of the lightning impulse current component A wave, B wave, C wave, and D wave through the lightning impulse current component generating device and the acquisition device, and performs data analysis on the collected waveform discrete data combination.
  • the processing is to obtain spliced data with even and continuous data distribution, and the spliced data is displayed using logarithmic coordinates.
  • the data processing includes the following steps:
  • Downsampling use the weighted average algorithm for A3 to reduce the number of samples to obtain data combination A4;
  • Peak detection use the peak detection algorithm to find the peak point of A4, use the peak point as the starting point to traverse A4 in reverse, take the 90% peak point as tr90, the 50% peak point as tr50, the 10% peak point as tr10, and take the peak point as The starting point traverses A4 in the forward direction, and takes the 50% peak point as tt50;
  • the edge pulse width calculate the waveform rise time and pulse width based on the peak point in the peak detection step.
  • the rise time Tr (tr90-tr10)/0.8
  • the pulse width Td (tr90-tr10)*0.5/0.8+(tt50- tr50);
  • Polynomial interpolation uses peak detection to obtain the 0% peak point of the rising time period and the 0% peak point of the falling time period as the starting and ending points of the current component A wave and D wave. If the 0% peak point of the falling time period is not obtained, Taking the end point of A4 as the 0% peak point of the falling time period, obtain the 95% peak point of the rising time period and the 95% peak point of the falling time period as the starting and ending points of the current component B wave and C wave. For the current component starting point Polynomial interpolation is performed between the and the end points.
  • the polynomial interpolation is an order linear interpolation.
  • the invention also provides a lightning effect test waveform splicing system, which includes an equipment driving module, a data processing module and a data display module.
  • the equipment driving module is used to analyze four lightning impulse current components A wave, B wave, C wave,
  • the D-wave generating device and acquisition device are controlled to obtain a discrete waveform data set.
  • the data processing module performs data processing on the collected discrete waveform data set to obtain evenly distributed and continuous spliced data.
  • the data display module uses logarithms. The coordinates display the processed waveform.
  • the data processing module includes the following sub-modules:
  • the de-offset quantum module uses the arithmetic average of the 0-10% data segments of A1 to obtain the average offset X, and subtracts the average offset X from A1 to obtain the waveform data combination A2 after the offset is removed;
  • the filtering submodule uses the moving average filtering algorithm on A2 to obtain the filtered waveform data combination A3;
  • the downsampling submodule uses the weighted average algorithm to reduce the number of samples for A3 to obtain data combination A4;
  • the peak detection sub-module uses the peak detection algorithm to find the peak point of A4, traverses A4 in reverse with the peak point as the starting point, and takes the 90% peak point as tr90, the 50% peak point as tr50, and the 10% peak point as tr10. Point is the starting point and traverses A4 forward, taking the 50% peak point as tt50;
  • the edge pulse width calculation sub-module calculates the rise time and pulse width of the waveform based on the peak point of the peak detection sub-module.
  • the rise time Tr (tr90-tr10)/0.8
  • the pulse width Td (tr90-tr10)*0.5/0.8+( tt50-tr50);
  • the data splicing sub-module determines the current component type based on the current component peak value, rise time Tr and pulse width Td, and sorts in the order of A wave, B wave, C wave and D wave;
  • the polynomial interpolation sub-module uses the peak detection method to obtain the 0% peak point of the rising time period and the 0% peak point of the falling time period as the starting and ending points of the current component A wave and D wave. If the 0% peak point of the falling time period is not obtained, point, take the end point of A4 as the 0% peak point of the falling time period, obtain the 95% peak point of the rising time period and the 95% peak point of the falling time period as the starting and ending points of the current component B wave and C wave, for the current component Polynomial interpolation is performed between the start and end points.
  • the invention integrates the testing of different current component combinations into one system, which greatly improves the experimental testing efficiency; uses a weighted average algorithm to solve the problem of uneven thickness caused by differences in data sampling of different current components; uses polynomial interpolation to solve the problem of uneven splicing of current components. Continuous problem; data display uses logarithmic coordinates to solve the problem of uneven distribution of current components.
  • Figure 1 is a current component waveform diagram in the background technology of this application.
  • Figure 2 is a flow chart of data processing steps of the lightning effect test waveform splicing method according to the embodiment of the present application;
  • Figure 3 is a structural block diagram of the lightning effect test waveform splicing system according to the embodiment of the present application.
  • FIG. 4 is a structural block diagram of the data processing module according to the embodiment of the present application.
  • This embodiment provides a lightning effect test waveform splicing method.
  • the waveform discrete data combination of the lightning impulse current component A wave, B wave, C wave, and D wave is obtained through the lightning impulse current component generating device and the acquisition device, and the collected waveforms are discrete
  • the data is combined and processed to obtain spliced data with even and continuous data distribution, and the spliced data is displayed using logarithmic coordinates.
  • S3, filtering uses the moving average filtering algorithm on A2 to obtain the filtered waveform data combination A3;
  • S4 downsampling, uses the weighted average algorithm for A3 to reduce the number of samples to obtain data combination A4;
  • peak detection use the peak detection algorithm to find the peak point of A4, use the peak point as the starting point to traverse A4 in reverse, take the 90% peak point as tr90, the 50% peak point as tr50, the 10% peak point as tr10, and use the peak point as the starting point. Point is the starting point and traverses A4 forward, taking the 50% peak point as tt50;
  • S8 polynomial interpolation uses the peak detection method to obtain the 0% peak point of the rising time period and the 0% peak point of the falling time period as the starting and ending points of the current component A wave and D wave. If the 0% peak point of the falling time period is not obtained, point, take the end point of A4 as the 0% peak point of the falling time period, obtain the 95% peak point of the rising time period and the 95% peak point of the falling time period as the starting and ending points of the current component B wave and C wave, for the current component Polynomial interpolation is performed between the start and end points.
  • the polynomial interpolation method described in this embodiment is linear interpolation.
  • parabolic interpolation and cubic polynomial interpolation can also be used.
  • Polynomial interpolation can make the splicing of current components continuous and complete.
  • This embodiment provides a lightning effect test waveform splicing system, as shown in Figure 3.
  • the lightning effect test waveform splicing system includes an equipment driver module, a data processing module and a data display module.
  • the equipment driver module is used to generate four lightning impulse current components A wave, B wave, C wave and D wave.
  • the data processing module analyzes and processes the collected waveform discrete data sets to obtain evenly distributed and continuous spliced data.
  • the data display module uses logarithmic coordinates to display the processed waveform.
  • the data processing module of this embodiment is shown in Figure 4, and specifically includes the following sub-modules:
  • the de-offset quantum module uses the arithmetic average of the 0-10% data segments of A1 to obtain the average offset X, and subtracts the average offset X from A1 to obtain the waveform data combination A2 after the offset is removed;
  • the filtering submodule uses the moving average filtering algorithm on A2 to obtain the filtered waveform data combination A3;
  • the downsampling submodule uses the weighted average algorithm to reduce the number of samples for A3 to obtain data combination A4;
  • the peak detection sub-module uses the peak detection algorithm to find the peak point of A4, traverses A4 in reverse with the peak point as the starting point, and takes the 90% peak point as tr90, the 50% peak point as tr50, and the 10% peak point as tr10. Point is the starting point and traverses A4 forward, taking the 50% peak point as tt50;
  • the edge pulse width calculation sub-module calculates the rise time and pulse width of the waveform based on the peak point of the peak detection sub-module.
  • the rise time Tr (tr90-tr10)/0.8
  • the pulse width Td (tr90-tr10)*0.5/0.8+( tt50-tr50);
  • the data splicing sub-module determines the current component type based on the current component peak value, rise time Tr and pulse width Td, and sorts in the order of A wave, B wave, C wave and D wave;
  • the polynomial interpolation sub-module uses the peak detection method to obtain the 0% peak point of the rising time period and the 0% peak point of the falling time period as the starting and ending points of the current component A wave and D wave. If the 0% peak point of the falling time period is not obtained, point, take the end point of A4 as the 0% peak point of the falling time period, obtain the 95% peak point of the rising time period and the 95% peak point of the falling time period as the starting and ending points of the current component B wave and C wave, for the current component Polynomial interpolation is performed between the start and end points.
  • this embodiment uses The logarithmic axis displays spliced waveform data to make the above-mentioned current flow distribution more uniform.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Testing Relating To Insulation (AREA)

Abstract

A lightning effect test waveform splicing method and system. The splicing method comprises: by means of a lightning impulse current component generation apparatus and collection apparatus, acquiring a waveform discrete data combination of lightning impulse current components, i.e. an A wave, a B wave, a C wave and a D wave; performing data processing on the collected waveform discrete data combination to obtain spliced data, which is distributed uniformly and continuously; and displaying the spliced data by using logarithmic coordinates, wherein the data processing comprises the steps of signal amplification (S1), deoffset (S2), filtering (S3), downsampling (S4), peak detection (S5), edge pulse width calculation (S6), data splicing (S7), polynomial interpolation (S8), etc. Tests of different current component combinations are integrated into one system, such that the test efficiency is greatly improved; the problem of the uneven thickness caused by a data sampling difference in different current components is solved by using a weighted averaging algorithm; the problem of discontinuous splicing of current components is solved by using polynomial interpolation; and for data display, the problem of non-uniform distribution of current components is solved by using logarithmic coordinates.

Description

一种雷电效应测试波形拼接方法及***A lightning effect test waveform splicing method and system 技术领域Technical field
本申请属于航空雷电防护实验技术领域，尤其是涉及一种雷电效应测试波形拼接方法和拼接***。This application belongs to the technical field of aviation lightning protection experiments, and in particular relates to a lightning effect test waveform splicing method and splicing system.
背景技术Background technique
飞机雷电直接效应试验将模拟雷电冲击电流划分成多个不同分量，根据雷电附着区域选择不同的电流分量及其组合进行测试。The aircraft lightning direct effect test divides the simulated lightning impulse current into multiple different components, and selects different current components and their combinations according to the lightning attachment area for testing.
电流分量包含A波、B波、C波、D波共4种。电流分量A为初始高峰电流，峰值200kA，持续时间小于等于500μs；电流分量B为中间电流，平均幅值2kA，持续时间小于等于5ms；电流分量C为持续电流，持续时间0.25至1s；电流分量D为重复放电电流，峰值为100kA，持续时间小于等于500μs。There are four types of current components: A wave, B wave, C wave, and D wave. Current component A is the initial peak current, with a peak value of 200kA and a duration of less than or equal to 500μs; current component B is an intermediate current with an average amplitude of 2kA and a duration of less than or equal to 5ms; current component C is a continuous current with a duration of 0.25 to 1s; current component D is the repetitive discharge current, with a peak value of 100kA and a duration of less than or equal to 500μs.
雷电附着区域包含1A，1B，2A，2B，3共5个区域。区域1A为雷电初始附着概率较高并且附着点位置随时间变化概率较高的表面，使用A，B分量组合测试；区域1B为雷电初始附着概率较高并且附着点位置随时间变化概率较低的表面，使用A，B，C，D分量组合测试；区域2A为雷电从初始附着点位置被气流吹移通过的概率较高并且附着点位置随时间变化概率较高的表面，使用B，C，D分量组合测试；区域2B为雷电从初始附着点位置被气流吹移通过的概率较高并且附着点位置随时间变化概率较低的表面，使用B，C，D分量组合测试；区域3为剩余的表面，使用A，C分量组合测试。The lightning attachment area includes 1A, 1B, 2A, 2B, 3, a total of 5 areas. Area 1A is a surface with a high initial attachment probability of lightning and a high probability that the attachment point position changes with time. It is tested using a combination of A and B components. Area 1B is a surface with a high initial lightning attachment probability and a low probability of the attachment point position changing with time. Surface, use A, B, C, D component combination test; Area 2A is a surface where the probability of lightning being blown by the airflow from the initial attachment point position is high and the attachment point position changes with time. Use B, C, D component combination test; area 2B is a surface where the probability of lightning being blown by the airflow from the initial attachment point position is high and the attachment point position changes with time with a low probability, using the B, C, and D component combination test; area 3 is the remaining The surface is tested using a combination of components A and C.
目前现有技术采用A，B，C，D四台发生装置分别输出试验的四个 电流分量，再通过采集装置获取波形验证试验的可靠性。一般有以下两种采集方式：The current existing technology uses four generating devices A, B, C, and D to respectively output the four current components of the test, and then obtains the waveform through the acquisition device to verify the reliability of the test. Generally, there are two collection methods:
每台发生装置使用单独采集装置，此方式能够捕获单个电流分量的波形特征，但无法获取分量组合的特征；Each generating device uses a separate acquisition device. This method can capture the waveform characteristics of a single current component, but cannot obtain the characteristics of a combination of components;
所有发生装置使用一台采集装置，此方式能够捕获电流分量组合的特征，但捕获波形不连续且无法获取每个电流分量的波形特征。All generating devices use one acquisition device. This method can capture the characteristics of a combination of current components, but the captured waveform is discontinuous and cannot obtain the waveform characteristics of each current component.
发明内容Contents of the invention
为解决上述现有技术中的不足，本发明提供了一种雷电效应测试波形拼接方法及***。In order to solve the above-mentioned deficiencies in the prior art, the present invention provides a lightning effect test waveform splicing method and system.
本发明解决上述技术问题所采用的技术方案是：The technical solutions adopted by the present invention to solve the above technical problems are:
一种雷电效应测试波形拼接方法，通过雷电冲击电流分量发生装置和采集装置获取雷电冲击电流分量A波、B波、C波、D波的波形离散数据组合，对采集的波形离散数据组合进行数据处理得到数据分布均匀且连续的拼接数据，并将所述拼接数据使用对数坐标显示。A lightning effect test waveform splicing method, which obtains the waveform discrete data combination of the lightning impulse current component A wave, B wave, C wave, and D wave through the lightning impulse current component generating device and the acquisition device, and performs data analysis on the collected waveform discrete data combination. The processing is to obtain spliced data with even and continuous data distribution, and the spliced data is displayed using logarithmic coordinates.
优选地，本发明的雷电效应测试波形拼接方法，所述数据处理包括如下步骤：Preferably, in the lightning effect test waveform splicing method of the present invention, the data processing includes the following steps:
信号放大，通过A1＝A0/μ把所述波形离散数据组合转换为实际波形组合，A1表示实际波形数据组合，A0表示采集的波形离散数据组合，μ表示电流衰减系数；Signal amplification converts the waveform discrete data combination into an actual waveform combination through A1=A0/μ, A1 represents the actual waveform data combination, A0 represents the collected waveform discrete data combination, and μ represents the current attenuation coefficient;
去偏移量，对A1的0-10％数据段使用算术平均得到平均偏移量X，A1减去平均偏移量X得到去除偏移后的波形数据组合A2；To remove the offset, use the arithmetic average on the 0-10% data segment of A1 to get the average offset X, and subtract the average offset X from A1 to get the waveform data combination A2 after removing the offset;
滤波，对A2使用滑动平均滤波算法得到滤波后的波形数据组合A3；Filter, use the moving average filtering algorithm on A2 to obtain the filtered waveform data combination A3;
降采样，对A3使用加权平均算法减少采样个数得到数据组合A4；Downsampling, use the weighted average algorithm for A3 to reduce the number of samples to obtain data combination A4;
峰值检测，对A4使用峰值检测算法求峰值点，以峰值点为起始点反向遍历A4，取90％峰值点为tr90、50％峰值点为tr50、10％峰值点为tr10，以峰值点为起始点正向遍历A4，取50％峰值点为tt50；Peak detection, use the peak detection algorithm to find the peak point of A4, use the peak point as the starting point to traverse A4 in reverse, take the 90% peak point as tr90, the 50% peak point as tr50, the 10% peak point as tr10, and take the peak point as The starting point traverses A4 in the forward direction, and takes the 50% peak point as tt50;
边沿脉宽计算，根据峰值检测步骤中的峰值点计算波形上升时间和脉宽，上升时间Tr＝(tr90-tr10)/0.8，脉宽Td＝(tr90-tr10)*0.5/0.8+(tt50-tr50)；To calculate the edge pulse width, calculate the waveform rise time and pulse width based on the peak point in the peak detection step. The rise time Tr=(tr90-tr10)/0.8, the pulse width Td=(tr90-tr10)*0.5/0.8+(tt50- tr50);
数据拼接，根据电流分量峰值，上升时间Tr和脉宽Td判断电流分量类型，按A波、B波、C波、D波的顺序进行排序；Data splicing, judging the current component type based on the current component peak value, rise time Tr and pulse width Td, sorting in the order of A wave, B wave, C wave and D wave;
多项式插值，以峰值检测方式获取上升时间段0％峰值点和下降时间段0％峰值点作为电流分量A波和D波的开始点和结束点，若未获取到下降时间段0％峰值点，以A4的结束点作为下降时间段0％峰值点，获取上升时间段95％峰值点和下降时间段95％峰值点作为电流分量B波和C波的开始点和结束点，对电流分量开始点和结束点之间进行多项式插值。Polynomial interpolation uses peak detection to obtain the 0% peak point of the rising time period and the 0% peak point of the falling time period as the starting and ending points of the current component A wave and D wave. If the 0% peak point of the falling time period is not obtained, Taking the end point of A4 as the 0% peak point of the falling time period, obtain the 95% peak point of the rising time period and the 95% peak point of the falling time period as the starting and ending points of the current component B wave and C wave. For the current component starting point Polynomial interpolation is performed between the and the end points.
优选地，本发明的雷电效应测试波形拼接方法，所述多项式插值为阶线性插值。Preferably, in the lightning effect test waveform splicing method of the present invention, the polynomial interpolation is an order linear interpolation.
本发明还提供了一种雷电效应测试波形拼接***，包括设备驱动模块、数据处理模块和数据显示模块，所述设备驱动模块用于对四台雷电冲击电流分量A波、B波、C波、D波的发生装置和采集装置进行控制，获取波形离散数据集合，所述数据处理模块对采集的波形离散数据集合进行数据处理得到数据分布均匀且连续的拼接数据，所述数据显示模块使用对数坐标显示处理后的波形。The invention also provides a lightning effect test waveform splicing system, which includes an equipment driving module, a data processing module and a data display module. The equipment driving module is used to analyze four lightning impulse current components A wave, B wave, C wave, The D-wave generating device and acquisition device are controlled to obtain a discrete waveform data set. The data processing module performs data processing on the collected discrete waveform data set to obtain evenly distributed and continuous spliced data. The data display module uses logarithms. The coordinates display the processed waveform.
优选地，本发明的雷电效应测试波形拼接***，所述数据处理模 块包括如下子模块：Preferably, in the lightning effect test waveform splicing system of the present invention, the data processing module includes the following sub-modules:
信号放大子模块，通过A1＝A0/μ把所述波形离散数据组合转换为实际波形组合，A1表示实际波形数据组合，A0表示采集的波形离散数据组合，μ表示电流衰减系数；The signal amplification sub-module converts the waveform discrete data combination into an actual waveform combination through A1=A0/μ, A1 represents the actual waveform data combination, A0 represents the collected waveform discrete data combination, and μ represents the current attenuation coefficient;
去偏移量子模块，对A1的0-10％数据段使用算术平均得到平均偏移量X，A1减去平均偏移量X得到去除偏移后的波形数据组合A2；The de-offset quantum module uses the arithmetic average of the 0-10% data segments of A1 to obtain the average offset X, and subtracts the average offset X from A1 to obtain the waveform data combination A2 after the offset is removed;
滤波子模块，对A2使用滑动平均滤波算法得到滤波后的波形数据组合A3；The filtering submodule uses the moving average filtering algorithm on A2 to obtain the filtered waveform data combination A3;
降采样子模块，对A3使用加权平均算法减少采样个数得到数据组合A4；The downsampling submodule uses the weighted average algorithm to reduce the number of samples for A3 to obtain data combination A4;
峰值检测子模块，对A4使用峰值检测算法求峰值点，以峰值点为起始点反向遍历A4，取90％峰值点为tr90、50％峰值点为tr50、10％峰值点为tr10，以峰值点为起始点正向遍历A4，取50％峰值点为tt50；The peak detection sub-module uses the peak detection algorithm to find the peak point of A4, traverses A4 in reverse with the peak point as the starting point, and takes the 90% peak point as tr90, the 50% peak point as tr50, and the 10% peak point as tr10. Point is the starting point and traverses A4 forward, taking the 50% peak point as tt50;
边沿脉宽计算子模块，根据峰值检测子模块的峰值点计算波形上升时间和脉宽，上升时间Tr＝(tr90-tr10)/0.8，脉宽Td＝(tr90-tr10)*0.5/0.8+(tt50-tr50)；The edge pulse width calculation sub-module calculates the rise time and pulse width of the waveform based on the peak point of the peak detection sub-module. The rise time Tr=(tr90-tr10)/0.8, the pulse width Td=(tr90-tr10)*0.5/0.8+( tt50-tr50);
数据拼接子模块，根据电流分量峰值，上升时间Tr和脉宽Td判断电流分量类型，按A波、B波、C波、D波的顺序进行排序；The data splicing sub-module determines the current component type based on the current component peak value, rise time Tr and pulse width Td, and sorts in the order of A wave, B wave, C wave and D wave;
多项式插值子模块，以峰值检测方式获取上升时间段0％峰值点和下降时间段0％峰值点作为电流分量A波和D波的开始点和结束点，若未获取到下降时间段0％峰值点，以A4的结束点作为下降时间段0％峰值点，获取上升时间段95％峰值点和下降时间段95％峰值点作为电流分量B波和C波的开始点和结束点，对电流分量开始点和结束点之间进行多项式插值。The polynomial interpolation sub-module uses the peak detection method to obtain the 0% peak point of the rising time period and the 0% peak point of the falling time period as the starting and ending points of the current component A wave and D wave. If the 0% peak point of the falling time period is not obtained, point, take the end point of A4 as the 0% peak point of the falling time period, obtain the 95% peak point of the rising time period and the 95% peak point of the falling time period as the starting and ending points of the current component B wave and C wave, for the current component Polynomial interpolation is performed between the start and end points.
本发明的有益效果是：The beneficial effects of the present invention are:
本发明将不同电流分量组合的测试集成到一个***中，大大提高了试验测试效率；采用加权平均算法解决了不同电流分量数据采样差异导致粗细不均的问题；采用多项式插值解决了电流分量拼接不连续的问题；数据显示采用对数坐标解决了电流分量分布不均的问题。The invention integrates the testing of different current component combinations into one system, which greatly improves the experimental testing efficiency; uses a weighted average algorithm to solve the problem of uneven thickness caused by differences in data sampling of different current components; uses polynomial interpolation to solve the problem of uneven splicing of current components. Continuous problem; data display uses logarithmic coordinates to solve the problem of uneven distribution of current components.
附图说明Description of the drawings
下面结合附图和实施例对本申请的技术方案进一步说明。The technical solution of the present application will be further described below in conjunction with the accompanying drawings and examples.
图1是本申请背景技术中电流分量波形图；Figure 1 is a current component waveform diagram in the background technology of this application;
图2是本申请实施例的雷电效应测试波形拼接方法的数据处理步骤流程图；Figure 2 is a flow chart of data processing steps of the lightning effect test waveform splicing method according to the embodiment of the present application;
图3是本申请实施例的雷电效应测试波形拼接***结构框图；Figure 3 is a structural block diagram of the lightning effect test waveform splicing system according to the embodiment of the present application;
图4是本申请实施例的数据处理模块结构框图。Figure 4 is a structural block diagram of the data processing module according to the embodiment of the present application.
具体实施方式Detailed ways
需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。It should be noted that, as long as there is no conflict, the embodiments and features in the embodiments of this application can be combined with each other.
下面将参考附图并结合实施例来详细说明本申请的技术方案。The technical solution of the present application will be described in detail below with reference to the accompanying drawings and embodiments.
实施例1Example 1
本实施例提供一种雷电效应测试波形拼接方法，通过雷电冲击电流分量发生装置和采集装置获取雷电冲击电流分量A波、B波、C波、D波的波形离散数据组合，对采集的波形离散数据组合进行数据处理得到数据分布均匀且连续的拼接数据，并将所述拼接数据使用对数坐标显示。This embodiment provides a lightning effect test waveform splicing method. The waveform discrete data combination of the lightning impulse current component A wave, B wave, C wave, and D wave is obtained through the lightning impulse current component generating device and the acquisition device, and the collected waveforms are discrete The data is combined and processed to obtain spliced data with even and continuous data distribution, and the spliced data is displayed using logarithmic coordinates.
本实施例中的数据处理步骤如图2，具体如下：The data processing steps in this embodiment are as shown in Figure 2, as follows:
S1，信号放大，通过A1＝A0/μ把所述波形离散数据组合转换为实际波形组合，A1表示实际波形数据组合，A0表示采集的波形离散数据组合，μ表示电流衰减系数；S1, signal amplification, converts the waveform discrete data combination into an actual waveform combination through A1=A0/μ, A1 represents the actual waveform data combination, A0 represents the collected waveform discrete data combination, and μ represents the current attenuation coefficient;
S2，去偏移量，对A1的0-10％数据段使用算术平均得到平均偏移量X，A1减去平均偏移量X得到去除偏移后的波形数据组合A2；S2, remove the offset, use the arithmetic average for the 0-10% data segment of A1 to get the average offset X, subtract the average offset X from A1 to get the waveform data combination A2 after removing the offset;
S3，滤波，对A2使用滑动平均滤波算法得到滤波后的波形数据组合A3；S3, filtering, uses the moving average filtering algorithm on A2 to obtain the filtered waveform data combination A3;
S4，降采样，对A3使用加权平均算法减少采样个数得到数据组合A4；S4, downsampling, uses the weighted average algorithm for A3 to reduce the number of samples to obtain data combination A4;
S5，峰值检测，对A4使用峰值检测算法求峰值点，以峰值点为起始点反向遍历A4，取90％峰值点为tr90、50％峰值点为tr50、10％峰值点为tr10，以峰值点为起始点正向遍历A4，取50％峰值点为tt50；S5, peak detection, use the peak detection algorithm to find the peak point of A4, use the peak point as the starting point to traverse A4 in reverse, take the 90% peak point as tr90, the 50% peak point as tr50, the 10% peak point as tr10, and use the peak point as the starting point. Point is the starting point and traverses A4 forward, taking the 50% peak point as tt50;
S6，边沿脉宽计算，根据峰值检测步骤中的峰值点计算波形上升时间和脉宽，上升时间Tr＝(tr90-tr10)/0.8，脉宽Td＝(tr90-tr10)*0.5/0.8+(tt50-tr50)；S6, edge pulse width calculation, calculate the waveform rise time and pulse width according to the peak point in the peak detection step, rise time Tr=(tr90-tr10)/0.8, pulse width Td=(tr90-tr10)*0.5/0.8+( tt50-tr50);
S7，数据拼接，根据电流分量峰值，上升时间Tr和脉宽Td判断电流分量类型，按A波、B波、C波、D波的顺序进行排序；S7, data splicing, determine the current component type based on the current component peak value, rise time Tr and pulse width Td, and sort in the order of A wave, B wave, C wave and D wave;
S8，多项式插值，以峰值检测方式获取上升时间段0％峰值点和下降时间段0％峰值点作为电流分量A波和D波的开始点和结束点，若未获取到下降时间段0％峰值点，以A4的结束点作为下降时间段0％峰值点，获取上升时间段95％峰值点和下降时间段95％峰值点作为电流分量B波和C波的开始点和结束点，对电流分量开始点和结束点之间进行多项式插值。S8, polynomial interpolation, uses the peak detection method to obtain the 0% peak point of the rising time period and the 0% peak point of the falling time period as the starting and ending points of the current component A wave and D wave. If the 0% peak point of the falling time period is not obtained, point, take the end point of A4 as the 0% peak point of the falling time period, obtain the 95% peak point of the rising time period and the 95% peak point of the falling time period as the starting and ending points of the current component B wave and C wave, for the current component Polynomial interpolation is performed between the start and end points.
本实施例所述多项式插值方法为阶线性插值，另外也可采用抛物 线插值和三次多项式插值等，采用多项式插值可以使电流分量拼接连续、完整。The polynomial interpolation method described in this embodiment is linear interpolation. In addition, parabolic interpolation and cubic polynomial interpolation can also be used. Polynomial interpolation can make the splicing of current components continuous and complete.
实施例2Example 2
本实施例提供一种雷电效应测试波形拼接***，如图3所示。This embodiment provides a lightning effect test waveform splicing system, as shown in Figure 3.
所述雷电效应测试波形拼接***，包括设备驱动模块、数据处理模块和数据显示模块，所述设备驱动模块用于对四台雷电冲击电流分量A波、B波、C波、D波的发生装置和采集装置进行控制，获取A波、B波、C波、D波的波形离散数据集合，所述数据处理模块对采集的波形离散数据集合进行分析处理得到数据分布均匀且连续的拼接数据，所述数据显示模块使用对数坐标显示处理后的波形。The lightning effect test waveform splicing system includes an equipment driver module, a data processing module and a data display module. The equipment driver module is used to generate four lightning impulse current components A wave, B wave, C wave and D wave. The data processing module analyzes and processes the collected waveform discrete data sets to obtain evenly distributed and continuous spliced data. The data display module uses logarithmic coordinates to display the processed waveform.
本实施例的数据处理模块如图4所示，具体包括如下子模块：The data processing module of this embodiment is shown in Figure 4, and specifically includes the following sub-modules:
信号放大子模块，通过A1＝A0/μ把所述波形离散数据组合转换为实际波形组合，A1表示实际波形数据组合，A0表示采集的波形离散数据组合，μ表示电流衰减系数；The signal amplification sub-module converts the waveform discrete data combination into an actual waveform combination through A1=A0/μ, A1 represents the actual waveform data combination, A0 represents the collected waveform discrete data combination, and μ represents the current attenuation coefficient;
去偏移量子模块，对A1的0-10％数据段使用算术平均得到平均偏移量X，A1减去平均偏移量X得到去除偏移后的波形数据组合A2；The de-offset quantum module uses the arithmetic average of the 0-10% data segments of A1 to obtain the average offset X, and subtracts the average offset X from A1 to obtain the waveform data combination A2 after the offset is removed;
滤波子模块，对A2使用滑动平均滤波算法得到滤波后的波形数据组合A3；The filtering submodule uses the moving average filtering algorithm on A2 to obtain the filtered waveform data combination A3;
降采样子模块，对A3使用加权平均算法减少采样个数得到数据组合A4；The downsampling submodule uses the weighted average algorithm to reduce the number of samples for A3 to obtain data combination A4;
峰值检测子模块，对A4使用峰值检测算法求峰值点，以峰值点为起始点反向遍历A4，取90％峰值点为tr90、50％峰值点为tr50、10％峰值点为tr10，以峰值点为起始点正向遍历A4，取50％峰值点为tt50；The peak detection sub-module uses the peak detection algorithm to find the peak point of A4, traverses A4 in reverse with the peak point as the starting point, and takes the 90% peak point as tr90, the 50% peak point as tr50, and the 10% peak point as tr10. Point is the starting point and traverses A4 forward, taking the 50% peak point as tt50;
边沿脉宽计算子模块，根据峰值检测子模块的峰值点计算波形上 升时间和脉宽，上升时间Tr＝(tr90-tr10)/0.8，脉宽Td＝(tr90-tr10)*0.5/0.8+(tt50-tr50)；The edge pulse width calculation sub-module calculates the rise time and pulse width of the waveform based on the peak point of the peak detection sub-module. The rise time Tr=(tr90-tr10)/0.8, the pulse width Td=(tr90-tr10)*0.5/0.8+( tt50-tr50);
数据拼接子模块，根据电流分量峰值，上升时间Tr和脉宽Td判断电流分量类型，按A波、B波、C波、D波的顺序进行排序；The data splicing sub-module determines the current component type based on the current component peak value, rise time Tr and pulse width Td, and sorts in the order of A wave, B wave, C wave and D wave;
多项式插值子模块，以峰值检测方式获取上升时间段0％峰值点和下降时间段0％峰值点作为电流分量A波和D波的开始点和结束点，若未获取到下降时间段0％峰值点，以A4的结束点作为下降时间段0％峰值点，获取上升时间段95％峰值点和下降时间段95％峰值点作为电流分量B波和C波的开始点和结束点，对电流分量开始点和结束点之间进行多项式插值。The polynomial interpolation sub-module uses the peak detection method to obtain the 0% peak point of the rising time period and the 0% peak point of the falling time period as the starting and ending points of the current component A wave and D wave. If the 0% peak point of the falling time period is not obtained, point, take the end point of A4 as the 0% peak point of the falling time period, obtain the 95% peak point of the rising time period and the 95% peak point of the falling time period as the starting and ending points of the current component B wave and C wave, for the current component Polynomial interpolation is performed between the start and end points.
由于电流分量A波、B波、C波、D波脉宽差异较大，使用一般坐标轴很难显示出小于等于500μs的短脉宽电流分量(A和D电流分量)，因此本实施例使用对数坐标轴显示拼接波形数据，使上述电流流量分布更加均匀。Since the pulse widths of the current components A wave, B wave, C wave, and D wave are quite different, it is difficult to display short pulse width current components (A and D current components) of less than or equal to 500 μs using general coordinate axes. Therefore, this embodiment uses The logarithmic axis displays spliced waveform data to make the above-mentioned current flow distribution more uniform.
以上述依据本申请的理想实施例为启示，通过上述的说明内容，相关工作人员完全可以在不偏离本项申请技术思想的范围内，进行多样的变更以及修改。本项申请的技术性范围并不局限于说明书上的内容，必须要根据权利要求范围来确定其技术性范围。Taking the above-mentioned ideal embodiments according to the present application as inspiration and through the above description, relevant staff can make various changes and modifications without departing from the scope of the technical idea of the present application. The technical scope of this application is not limited to the content in the description, and must be determined based on the scope of the claims.

Claims (5)

  1. 一种雷电效应测试波形拼接方法，其特征在于，通过雷电冲击电流分量发生装置和采集装置获取雷电冲击电流分量A波、B波、C波、D波的波形离散数据组合，对采集的波形离散数据组合进行数据处理得到数据分布均匀且连续的拼接数据，并将所述拼接数据使用对数坐标显示。A lightning effect test waveform splicing method, which is characterized in that the waveform discrete data combination of the lightning impulse current component A wave, B wave, C wave, and D wave is obtained through a lightning impulse current component generating device and a collection device, and the collected waveforms are discrete The data is combined and processed to obtain spliced data with even and continuous data distribution, and the spliced data is displayed using logarithmic coordinates.
  2. 根据权利要求1所述的雷电效应测试波形拼接方法，其特征在于，所述数据处理包括如下步骤：The lightning effect test waveform splicing method according to claim 1, characterized in that the data processing includes the following steps:
    信号放大，通过A1＝A0/μ把所述波形离散数据组合转换为实际波形组合，A1表示实际波形数据组合，A0表示采集的波形离散数据组合，μ表示电流衰减系数；Signal amplification converts the waveform discrete data combination into an actual waveform combination through A1=A0/μ, A1 represents the actual waveform data combination, A0 represents the collected waveform discrete data combination, and μ represents the current attenuation coefficient;
    去偏移量，对A1的0-10％数据段使用算术平均得到平均偏移量X，A1减去平均偏移量X得到去除偏移后的波形数据组合A2；To remove the offset, use the arithmetic average on the 0-10% data segment of A1 to get the average offset X, and subtract the average offset X from A1 to get the waveform data combination A2 after removing the offset;
    滤波，对A2使用滑动平均滤波算法得到滤波后的波形数据组合A3；Filter, use the moving average filtering algorithm on A2 to obtain the filtered waveform data combination A3;
    降采样，对A3使用加权平均算法减少采样个数得到数据组合A4；Downsampling, use the weighted average algorithm for A3 to reduce the number of samples to obtain data combination A4;
    峰值检测，对A4使用峰值检测算法求峰值点，以峰值点为起始点反向遍历A4，取90％峰值点为tr90、50％峰值点为tr50、10％峰值点为tr10，以峰值点为起始点正向遍历A4，取50％峰值点为tt50；Peak detection, use the peak detection algorithm to find the peak point of A4, use the peak point as the starting point to traverse A4 in reverse, take the 90% peak point as tr90, the 50% peak point as tr50, the 10% peak point as tr10, and take the peak point as The starting point traverses A4 in the forward direction, and takes the 50% peak point as tt50;
    边沿脉宽计算，根据峰值检测步骤中的峰值点计算波形上升时间和脉宽，上升时间Tr＝(tr90-tr10)/0.8，脉宽Td＝(tr90-tr10)*0.5/0.8+(tt50-tr50)；To calculate the edge pulse width, calculate the waveform rise time and pulse width based on the peak point in the peak detection step. The rise time Tr=(tr90-tr10)/0.8, the pulse width Td=(tr90-tr10)*0.5/0.8+(tt50- tr50);
    数据拼接，根据电流分量峰值，上升时间Tr和脉宽Td判断电流分量类型，按A波、B波、C波、D波的顺序进行排序；Data splicing, judging the current component type based on the current component peak value, rise time Tr and pulse width Td, sorting in the order of A wave, B wave, C wave and D wave;
    多项式插值，以峰值检测方式获取上升时间段0％峰值点和下降时间段0％峰值点作为电流分量A波和D波的开始点和结束点，若未获取到 下降时间段0％峰值点，以A4的结束点作为下降时间段0％峰值点，获取上升时间段95％峰值点和下降时间段95％峰值点作为电流分量B波和C波的开始点和结束点，对电流分量开始点和结束点之间进行多项式插值。Polynomial interpolation uses peak detection to obtain the 0% peak point of the rising time period and the 0% peak point of the falling time period as the starting and ending points of the current component A wave and D wave. If the 0% peak point of the falling time period is not obtained, Taking the end point of A4 as the 0% peak point of the falling time period, obtain the 95% peak point of the rising time period and the 95% peak point of the falling time period as the starting and ending points of the current component B wave and C wave. For the current component starting point Polynomial interpolation is performed between the and the end points.
  3. 根据权利要求2所述的雷电效应测试波形拼接方法，其特征在于，所述多项式插值为阶线性插值。The lightning effect test waveform splicing method according to claim 2, characterized in that the polynomial interpolation is an order linear interpolation.
  4. 一种雷电效应测试波形拼接***，其特征在于，包括设备驱动模块、数据处理模块和数据显示模块，所述设备驱动模块用于对四台雷电冲击电流分量A波、B波、C波、D波的发生装置和采集装置进行控制，获取波形离散数据集合，所述数据处理模块对采集的波形离散数据集合进行数据处理得到数据分布均匀且连续的拼接数据，所述数据显示模块使用对数坐标显示处理后的波形。A lightning effect test waveform splicing system, which is characterized in that it includes an equipment driving module, a data processing module and a data display module. The equipment driving module is used to analyze four lightning impulse current components A wave, B wave, C wave and D. The wave generating device and the collecting device are controlled to obtain a waveform discrete data set. The data processing module performs data processing on the collected waveform discrete data set to obtain evenly distributed and continuous spliced data. The data display module uses logarithmic coordinates. Display the processed waveform.
  5. 根据权利要求4所述的雷电效应测试波形拼接***，其特征在于，所述数据处理模块包括如下子模块：The lightning effect test waveform splicing system according to claim 4, characterized in that the data processing module includes the following sub-modules:
    信号放大子模块，通过A1＝A0/μ把所述波形离散数据组合转换为实际波形组合，A1表示实际波形数据组合，A0表示采集的波形离散数据组合，μ表示电流衰减系数；The signal amplification sub-module converts the waveform discrete data combination into an actual waveform combination through A1=A0/μ, A1 represents the actual waveform data combination, A0 represents the collected waveform discrete data combination, and μ represents the current attenuation coefficient;
    去偏移量子模块，对A1的0-10％数据段使用算术平均得到平均偏移量X，A1减去平均偏移量X得到去除偏移后的波形数据组合A2；The de-offset quantum module uses the arithmetic average of the 0-10% data segments of A1 to obtain the average offset X, and subtracts the average offset X from A1 to obtain the waveform data combination A2 after the offset is removed;
    滤波子模块，对A2使用滑动平均滤波算法得到滤波后的波形数据组合A3；The filtering submodule uses the moving average filtering algorithm on A2 to obtain the filtered waveform data combination A3;
    降采样子模块，对A3使用加权平均算法减少采样个数得到数据组合A4；The downsampling submodule uses the weighted average algorithm to reduce the number of samples for A3 to obtain data combination A4;
    峰值检测子模块，对A4使用峰值检测算法求峰值点，以峰值点为 起始点反向遍历A4，取90％峰值点为tr90、50％峰值点为tr50、10％峰值点为tr10，以峰值点为起始点正向遍历A4，取50％峰值点为tt50；The peak detection sub-module uses the peak detection algorithm to find the peak point of A4, traverses A4 in reverse with the peak point as the starting point, and takes the 90% peak point as tr90, the 50% peak point as tr50, and the 10% peak point as tr10. Point is the starting point and traverses A4 forward, taking the 50% peak point as tt50;
    边沿脉宽计算子模块，根据峰值检测子模块的峰值点计算波形上升时间和脉宽，上升时间Tr＝(tr90-tr10)/0.8，脉宽Td＝(tr90-tr10)*0.5/0.8+(tt50-tr50)；The edge pulse width calculation sub-module calculates the rise time and pulse width of the waveform based on the peak point of the peak detection sub-module. The rise time Tr=(tr90-tr10)/0.8, the pulse width Td=(tr90-tr10)*0.5/0.8+( tt50-tr50);
    数据拼接子模块，根据电流分量峰值，上升时间Tr和脉宽Td判断电流分量类型，按A波、B波、C波、D波的顺序进行排序；The data splicing sub-module determines the current component type based on the current component peak value, rise time Tr and pulse width Td, and sorts in the order of A wave, B wave, C wave and D wave;
    多项式插值子模块，以峰值检测方式获取上升时间段0％峰值点和下降时间段0％峰值点作为电流分量A波和D波的开始点和结束点，若未获取到下降时间段0％峰值点，以A4的结束点作为下降时间段0％峰值点，获取上升时间段95％峰值点和下降时间段95％峰值点作为电流分量B波和C波的开始点和结束点，对电流分量开始点和结束点之间进行多项式插值。The polynomial interpolation sub-module uses the peak detection method to obtain the 0% peak point of the rising time period and the 0% peak point of the falling time period as the starting and ending points of the current component A wave and D wave. If the 0% peak point of the falling time period is not obtained, point, take the end point of A4 as the 0% peak point of the falling time period, obtain the 95% peak point of the rising time period and the 95% peak point of the falling time period as the starting and ending points of the current component B wave and C wave, for the current component Polynomial interpolation is performed between the start and end points.
PCT/CN2022/102885 2022-05-12 2022-06-30 Lightning effect test waveform splicing method and system WO2023216398A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202210518344.6 2022-05-12
CN202210518344.6A CN114966171A (en) 2022-05-12 2022-05-12 Lightning effect test waveform splicing method and system

Publications (1)

Publication Number Publication Date
WO2023216398A1 true WO2023216398A1 (en) 2023-11-16

Family

ID=82984079

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/102885 WO2023216398A1 (en) 2022-05-12 2022-06-30 Lightning effect test waveform splicing method and system

Country Status (2)

Country Link
CN (1) CN114966171A (en)
WO (1) WO2023216398A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117371377B (en) * 2023-12-06 2024-04-09 杭州行芯科技有限公司 Current waveform acquisition method, computer equipment and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6175808B1 (en) * 1999-02-19 2001-01-16 The Aerospace Corporation Lightning effects monitoring and retest evaluation method
CN103048570A (en) * 2012-12-25 2013-04-17 武汉大学 Direct effect testing device for lightning current
CN103076472A (en) * 2013-02-01 2013-05-01 上海电机学院 Implementation method for small-scale full-wave direct lightning generator
CN105403778A (en) * 2015-09-17 2016-03-16 西安交通大学 Measuring method and system of multi-loop sequential work
CN105527514A (en) * 2015-11-30 2016-04-27 北京宇航***工程研究所 Test method for lightning indirect effects of finished special vehicle
CN110189743A (en) * 2019-05-06 2019-08-30 平安科技（深圳）有限公司 Concatenative point smoothing method, apparatus and storage medium in waveform concatenation

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6175808B1 (en) * 1999-02-19 2001-01-16 The Aerospace Corporation Lightning effects monitoring and retest evaluation method
CN103048570A (en) * 2012-12-25 2013-04-17 武汉大学 Direct effect testing device for lightning current
CN103076472A (en) * 2013-02-01 2013-05-01 上海电机学院 Implementation method for small-scale full-wave direct lightning generator
CN105403778A (en) * 2015-09-17 2016-03-16 西安交通大学 Measuring method and system of multi-loop sequential work
CN105527514A (en) * 2015-11-30 2016-04-27 北京宇航***工程研究所 Test method for lightning indirect effects of finished special vehicle
CN110189743A (en) * 2019-05-06 2019-08-30 平安科技（深圳）有限公司 Concatenative point smoothing method, apparatus and storage medium in waveform concatenation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
SUN JINRU, YAO XUELING, MENG YUTING, CHEN JINGLIANG: "Lightning Current Component C Test System of Lightning Direct Effect Test", GAODIANYA-JISHU : JIKAN - HIGH VOLTAGE ENGINEERING, WUHAN : SHUILI DIANLI BU WUHAN GAOYA YANJIUSUO, CN, vol. 44, no. 11, 30 November 2018 (2018-11-30), CN , pages 3619 - 3624, XP093111073, ISSN: 1003-6520, DOI: 10.13336/j.1003-6520.hve.20181031022 *

Also Published As

Publication number Publication date
CN114966171A (en) 2022-08-30

Similar Documents

Publication Publication Date Title
US9130393B2 (en) Systems and methods to isolate lower amplitude signals for analysis in the presence of large amplitude transients
WO2023216398A1 (en) Lightning effect test waveform splicing method and system
EP2734858B1 (en) Radar pulse detection using a digital radar receiver
Smith Automatic analysis and detection of EEG spikes
DE10291162B4 (en) Method for measuring trembling
WO2006007832A1 (en) Device and method for detecting flaws on objects or locating metallic objects
EP2406643A1 (en) Time domain electromagnetic interference monitoring method and system
CN110244202A (en) Based on synchronous compression wavelet transformed domain partial discharge of transformer denoising method
JP2000131356A (en) Spectrum analysis and indication method of time series data originating from living body
DE10223735A1 (en) Method and device for determining rhythm units in a piece of music
EP2174149B1 (en) A method and an apparatus for monitoring an activity of partial electrical discharges in an electrical apparatus powered with direct voltage
US5394185A (en) In-service CATV HUM measurement technique
US6453250B1 (en) Method and apparatus for detection of missing pulses from a pulse train
WO2015072365A1 (en) Eddy current flaw detection device
JPH067694B2 (en) Video camera transfer function determination method
Santillán-Guzmán et al. Real-time empirical mode decomposition for EEG signal enhancement
JP2009541766A (en) Method for instantaneous determination of signal distortion rate in AC distribution network and related apparatus
JPH09510783A (en) Method and apparatus for waveform analysis
CN103201639B (en) System frequency response test using continuous sweep frequencies
DE2720804A1 (en) PROCEDURE FOR MATERIAL TESTING
CN111289800A (en) Small-resistance vibration monitoring method based on generalized regression neural network
CN107224284A (en) Noise detection method and system for all-digital electrocardiosignal
US7424406B2 (en) Filter characteristic measuring method and system
CN114856830A (en) Intelligent measurement and inspection system in ignition system simulation work test platform
CN209765069U (en) Product metal foreign matter detection system based on motion trail

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22941344

Country of ref document: EP

Kind code of ref document: A1