CN116937598B - Insulation level monitoring adjusting system based on electric tree monitoring - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 35
- 238000009413 insulation Methods 0.000 title claims abstract description 22
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 53
- 239000013598 vector Substances 0.000 claims abstract description 29
- 238000007599 discharging Methods 0.000 claims abstract description 18
- 238000007781 pre-processing Methods 0.000 claims abstract description 12
- 230000005540 biological transmission Effects 0.000 claims abstract description 7
- 230000009467 reduction Effects 0.000 claims abstract description 7
- 238000012545 processing Methods 0.000 claims abstract description 6
- 230000001105 regulatory effect Effects 0.000 claims abstract description 6
- 230000009466 transformation Effects 0.000 claims description 17
- 230000007480 spreading Effects 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 12
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 230000015556 catabolic process Effects 0.000 claims description 6
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- 238000001514 detection method Methods 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 229920003020 cross-linked polyethylene Polymers 0.000 description 2
- 239000004703 cross-linked polyethylene Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R1/00—Details of instruments or arrangements of the types included in groups G01R5/00 - G01R13/00 and G01R31/00
- G01R1/30—Structural combination of electric measuring instruments with basic electronic circuits, e.g. with amplifier
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1272—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
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Abstract
The invention discloses an insulation level monitoring adjusting system based on electrical tree monitoring, and belongs to the technical field of power insulation detection. The preprocessing module obtains partial discharge PD signals output by the target cable, decomposes the partial discharge PD signals into a plurality of characteristic signals with different frequencies as centers, and synthesizes PD signals to be detected after noise reduction processing; the first decomposition module decomposes the PD signal to be detected into a low-frequency PD signal, an intermediate-frequency signal and a high-frequency PD signal; the conversion module performs discrete wavelet conversion on the target PD signals to obtain target PD sub-signals with a plurality of energy levels, and calculates energy vectors of the target PD signals; the adjusting module judges the current state of the discharging tree according to the characteristics of the energy vector, and adjusts the transmission voltage of the target cable according to the current state. The PD signal of the target cable is monitored and analyzed, the current state of the discharging tree is estimated, and the target cable is regulated and controlled in real time, so that the risk of power system faults can be reduced.
Description
Technical Field
The invention belongs to the technical field of electric power insulation detection, and particularly relates to an insulation level monitoring adjusting system based on electric tree monitoring.
Background
With the rapid development of the economy in China, the urban construction is continuously enlarged, and the electricity load is also continuously increased, so that the use proportion of the power cable is continuously improved. Among them, cross-linked polyethylene (XLPE) power cable has been widely used in power transmission and distribution networks of various voltage classes of power systems and continuously developed to the fields of high voltage and ultra-high voltage by virtue of its advantages of good insulation performance, thermal performance, mechanical performance, high power supply reliability, etc. The insulation level of the power cable is monitored in real time, the power system is accurately regulated and controlled, and the safe operation of the whole power system can be ensured.
The electric tree branch is commonly called as an electric tree, and the insulating layer of the cable is easy to age in the operation process, mainly because the inside of the insulating layer is discharged to generate fine cracks to form fine channels, the channels are hollow, and carbon particle marks generated by discharging are arranged on the pipe wall and form a tree shape. For evaluation of the growth of the electrical tree in the power cable, the degree of ageing of the power cable and thus the insulation level of the power cable can be determined.
In the prior art, an off-line invasive measurement is typically used for the evaluation of the growth of electrical trees in power cables. Therefore, the growth condition of the electric tree in the power cable cannot be measured in real time, so that the power system cannot be regulated and controlled in real time, and the risk of power system faults is increased.
Disclosure of Invention
The invention aims to solve the problems of the background art and provides an insulation level monitoring adjusting system based on electrical tree monitoring.
The aim of the invention can be achieved by the following technical scheme:
the embodiment of the invention provides an insulation level monitoring adjusting system based on electrical tree monitoring, which comprises a preprocessing module, a first decomposition module, a transformation module and an adjusting module; wherein:
the preprocessing module is used for acquiring partial discharge PD signals output by the target cable, decomposing the PD signals into a plurality of characteristic signals with different frequencies as centers, and synthesizing PD signals to be detected after noise reduction processing is carried out on the characteristic signals;
the first decomposition module is used for decomposing the PD signal to be detected into a low-frequency PD signal, an intermediate-frequency signal and a high-frequency PD signal through a low-pass filter and a high-pass filter; the low-frequency PD signal, the intermediate-frequency signal and the high-frequency PD signal correspond to branches with different depths of a discharging tree respectively;
the transformation module is used for carrying out discrete wavelet transformation on the target PD signals to obtain target PD sub-signals with a plurality of energy levels, and calculating the total energy of each target PD sub-signal to obtain the energy vector of the target PD signal; the target PD signal is any one of the low-frequency PD signal, the intermediate-frequency signal and the high-frequency PD signal;
the adjusting module is used for judging the current state of the discharging tree according to the characteristics of the energy vector and adjusting the power transmission voltage of the target cable according to the current state.
Optionally, the preprocessing module comprises a second decomposition module, and the second decomposition module comprises an adaptive parameter module and a VMD module;
the self-adaptive parameter module is used for executing a preset genetic algorithm to determine a target parameter of variation modal decomposition by taking the minimum envelope entropy as an fitness function;
and the VMD module is used for setting parameters of variation modal decomposition as the target parameters, and carrying out variation modal decomposition on the PD signals to obtain a plurality of characteristic signals centering on different frequencies.
Optionally, the target parameters include a penalty coefficient and a modality number.
Optionally, the adaptive parameter module includes an envelope entropy calculation module;
the envelope entropy calculation module is configured to calculate an envelope entropy after performing hilbert transformation on each characteristic signal, and specifically includes:
wherein S is envelope entropy, N is the number of characteristic signals, and h (j) is a signal obtained after Hilbert transformation is carried out on the jth characteristic signal.
Optionally, the transformation module comprises an energy calculation module;
the energy calculation module calculates the total energy of each target PD sub-signal:
wherein E is i For the total energy of the target PD sub-signal of the ith decomposition level, M is the preset decomposition level number of the discrete wavelet transform, K i Discrete point number, D, of target PD sub-signal for ith decomposition level ij (t) the amplitude, K, of the jth discrete point of the target PD sub-signal of the ith decomposition level M Discrete point number, D, of the target PD sub-signal for the last decomposition level Mj (t) is the magnitude of the jth discrete point of the target PD sub-signal for the last decomposition level.
Optionally, the branches of the electrical tree comprise a root region, an extension region and an end region according to depth; the adjusting module comprises a first judging module and a second judging module;
the first judging module is used for determining the growth stage of each region of the electric tree according to the characteristics of the energy vector;
the second judging module is used for determining the current state of the electric tree according to the growth stages of the root area, the spreading area and the end area.
Optionally, the energy vector order is arranged according to a decomposition level; the first judging module is specifically configured to:
if the maximum value in the energy vector is a value corresponding to the first decomposition level, determining that the growth stage of the region corresponding to the energy vector is complete;
and if the maximum value in the energy vector is not the value corresponding to the first decomposition level, determining that the growth stage of the region corresponding to the energy vector is incomplete growth.
Optionally, the electrical tree comprises a starting state, a lag state, a growth state, and a breakdown state;
the first judging module is specifically configured to:
if the root region, the spreading region and the end region are not grown, the electric tree is in a starting state;
if the root region is grown and the spread region and the end region are not grown, the electrical tree is in a long-lag state;
if the root region and the spreading region complete growth and the end region do not complete growth, the electrical tree is in a growing state;
if the root region, the spreading region, and the end region all complete growth, the electrical tree is in a breakdown state.
The invention has the beneficial effects that:
the embodiment of the invention provides an insulation level monitoring adjusting system based on electrical tree monitoring, which comprises a preprocessing module, a first decomposition module, a transformation module and an adjusting module; wherein: the preprocessing module is used for acquiring partial discharge PD signals output by the target cable, decomposing the PD signals into a plurality of characteristic signals with different frequencies as centers, carrying out noise reduction processing on the characteristic signals, and synthesizing the PD signals to be detected; the first decomposition module is used for decomposing the PD signal to be detected into a low-frequency PD signal, an intermediate-frequency signal and a high-frequency PD signal through a low-pass filter and a high-pass filter; the low-frequency PD signal, the intermediate-frequency signal and the high-frequency PD signal respectively correspond to branches of the discharging tree with different depths; the conversion module is used for carrying out discrete wavelet conversion on the target PD signals to obtain target PD sub-signals with a plurality of energy levels, and calculating the total energy of each target PD sub-signal to obtain the energy vector of the target PD signal; the target PD signal is any one of a low-frequency PD signal, an intermediate-frequency signal and a high-frequency PD signal; and the adjusting module is used for judging the current state of the discharging tree according to the characteristics of the energy vector and adjusting the transmission voltage of the target cable according to the current state. The PD signal of the target cable is monitored and analyzed, the current state of the discharging tree is estimated, and the target cable is regulated and controlled in real time, so that the risk of power system faults can be reduced.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of an insulation level monitoring adjustment system based on electrical tree monitoring according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention provides an insulation level monitoring adjusting system based on electrical tree monitoring. Referring to fig. 1, fig. 1 is a system block diagram of an insulation level monitoring adjustment system based on electrical tree monitoring according to an embodiment of the present invention. The device comprises a preprocessing module, a first decomposition module, a transformation module and an adjustment module; wherein:
the preprocessing module is used for acquiring partial discharge PD signals output by the target cable, decomposing the PD signals into a plurality of characteristic signals with different frequencies as centers, carrying out noise reduction processing on the characteristic signals, and synthesizing the PD signals to be detected;
the first decomposition module is used for decomposing the PD signal to be detected into a low-frequency PD signal, an intermediate-frequency signal and a high-frequency PD signal through a low-pass filter and a high-pass filter; the low-frequency PD signal, the intermediate-frequency signal and the high-frequency PD signal respectively correspond to branches of the discharging tree with different depths;
the conversion module is used for carrying out discrete wavelet conversion on the target PD signals to obtain target PD sub-signals with a plurality of energy levels, and calculating the total energy of each target PD sub-signal to obtain the energy vector of the target PD signal; the target PD signal is any one of a low-frequency PD signal, an intermediate-frequency signal and a high-frequency PD signal;
and the adjusting module is used for judging the current state of the discharging tree according to the characteristics of the energy vector and adjusting the transmission voltage of the target cable according to the current state.
According to the insulation level monitoring adjusting system based on the electrical tree monitoring, the PD signal of the target cable is monitored and analyzed, the current state of the discharging electrical tree is estimated, and the target cable is regulated and controlled in real time, so that the risk of power system faults can be reduced.
In one implementation, the tree phenomenon may generate a PD signal in the target cable, and monitoring and analyzing the PD signal may evaluate the discharging tree, and the deeper the tree branch depth of the discharging tree, the higher the component frequency in the corresponding PD signal. And decomposing the PD signal to be detected into a low-frequency PD signal, an intermediate-frequency signal and a high-frequency PD signal, respectively evaluating the growth conditions of different branch depths of the discharging electric tree, and dividing the growth conditions of the discharging electric tree into a plurality of stages according to the growth conditions of the branch depths. And adjusting the transmission voltage of the target cable according to the current growth stage of the discharging tree.
In one implementation, the PD signal has the characteristic of a wider frequency band and a dominant frequency that is not apparent. The PD signal is decomposed into a plurality of characteristic signals with different frequencies as centers, and noise reduction processing is carried out on each characteristic signal, so that the noise reduction effect can be improved.
In one embodiment, the preprocessing module comprises a second decomposition module comprising an adaptive parameter module and a VMD module;
the self-adaptive parameter module is used for executing a preset genetic algorithm to determine a target parameter of variation modal decomposition by taking the minimum envelope entropy as an fitness function;
and the VMD module is used for setting parameters of variation modal decomposition as target parameters, and carrying out variation modal decomposition on the PD signals to obtain a plurality of characteristic signals centering on different frequencies.
In one implementation, the VMD approach is capable of adaptively decomposing the PD signal into a plurality of characteristic modes having a center frequency. Not only can the interference signal in the PD signal be reduced, but also the transient characteristic of the PD signal can be maintained.
In one embodiment, the target parameters include penalty factors and modality numbers.
In one embodiment, the adaptive parameter module includes an envelope entropy calculation module;
the envelope entropy calculation module is configured to calculate an envelope entropy after performing hilbert transformation on each characteristic signal, and specifically includes:
wherein S is envelope entropy, N is the number of characteristic signals, and h (j) is a signal obtained after Hilbert transformation is carried out on the jth characteristic signal.
In one embodiment, the transformation module includes an energy calculation module;
an energy calculation module that calculates the total energy of each target PD sub-signal:
wherein E is i For the total energy of the target PD sub-signal of the ith decomposition level, M is the preset decomposition level number of the discrete wavelet transform, K i Discrete point number, D, of target PD sub-signal for ith decomposition level ij (t) the amplitude, K, of the jth discrete point of the target PD sub-signal of the ith decomposition level M Discrete point number, D, of the target PD sub-signal for the last decomposition level Mj (t) is the magnitude of the jth discrete point of the target PD sub-signal for the last decomposition level.
In one embodiment, the branches of the electrical tree include a root region, an infested region, and an end region according to depth; the adjusting module comprises a first judging module and a second judging module;
the first judging module is used for determining the growth stage of each region of the electric tree according to the characteristics of the energy vector;
and the second judging module is used for determining the current state of the electric tree according to the growth stages of the root area, the spreading area and the end area.
In one embodiment, the energy vector order is arranged according to a decomposition progression; the first judging module is specifically configured to:
if the maximum value in the energy vector is the value corresponding to the first decomposition level, determining the growth stage of the region corresponding to the energy vector as the completion of growth;
if the maximum value in the energy vector is not the value corresponding to the first decomposition level, determining that the growth stage of the region corresponding to the energy vector is incomplete growth.
In one implementation, a maximum value in the energy vector is determined for determining a decomposition level of maximum energy released by each region of the power tree. The first decomposition level releases the maximum energy, indicating that the current tree region is able to directly release most of the energy, i.e., the tree region is complete in growth. The maximum energy is released by the decomposition levels other than the first decomposition level, which indicates that most of energy cannot be directly released by the current electric tree area, and the width or the number of branches in the area needs to be expanded, namely the area of the electric tree is not grown.
In one embodiment, the electrical tree includes a starting state, a lag state, a growth state, and a breakdown state;
the first judging module is specifically configured to:
if the root area, the spreading area and the end area do not grow completely, the electric tree is in an initial state;
if the root area is grown and the spreading area and the end area are not grown, the electric tree is in a length-retarding state;
if the root area and the spreading area complete growth and the end area do not complete growth, the electric tree is in a growth state;
if the root region, the spreading region and the end regions all complete growth, the electrical tree is in a breakdown state.
In one implementation, the growth of the electrical tree in the power cable is an irreversible process, and the root region, the propagation region, and the end regions grow sequentially. The whole growth condition of the electric tree can be evaluated by judging the growth state of each area, so that the power cable can be conveniently and timely adjusted, maintained and replaced, and the safety of a power system is ensured.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present invention, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), etc.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (6)
1. An insulation level monitoring adjusting system based on electrical tree monitoring is characterized by comprising a preprocessing module, a first decomposition module, a transformation module and an adjusting module; wherein:
the preprocessing module is used for acquiring partial discharge PD signals output by the target cable, decomposing the PD signals into a plurality of characteristic signals with different frequencies as centers, and synthesizing PD signals to be detected after noise reduction processing is carried out on the characteristic signals;
the first decomposition module is used for decomposing the PD signal to be detected into a low-frequency PD signal, an intermediate-frequency signal and a high-frequency PD signal through a low-pass filter and a high-pass filter; the low-frequency PD signal, the intermediate-frequency signal and the high-frequency PD signal correspond to branches with different depths of a discharging tree respectively;
the transformation module is used for carrying out discrete wavelet transformation on the target PD signals to obtain target PD sub-signals with a plurality of energy levels, and calculating the total energy of each target PD sub-signal to obtain the energy vector of the target PD signal; the target PD signal is any one of the low-frequency PD signal, the intermediate-frequency signal and the high-frequency PD signal;
the adjusting module is used for judging the current state of the discharging tree according to the characteristics of the energy vector and adjusting the transmission voltage of the target cable according to the current state;
the transformation module comprises an energy calculation module;
the energy calculation module calculates the total energy of each target PD sub-signal:
wherein E is i For the total energy of the target PD sub-signal of the ith decomposition level, M is the preset decomposition level number of the discrete wavelet transform, K i Discrete point number, D, of target PD sub-signal for ith decomposition level ij (t) the amplitude, K, of the jth discrete point of the target PD sub-signal of the ith decomposition level M Discrete point number, D, of the target PD sub-signal for the last decomposition level Mj (t) the magnitude of the jth discrete point of the target PD sub-signal for the last decomposition level;
the branches of the electric tree comprise a root area, an extension area and an end area according to the depth; the adjusting module comprises a first judging module and a second judging module;
the first judging module is used for determining the growth stage of each region of the electric tree according to the characteristics of the energy vector;
the second judging module is used for determining the current state of the electric tree according to the growth stages of the root area, the spreading area and the end area.
2. An insulation level monitoring adjustment system based on electrical tree monitoring according to claim 1, characterized in that the pre-processing module comprises a second decomposition module comprising an adaptive parameter module and a VMD module;
the self-adaptive parameter module is used for executing a preset genetic algorithm to determine a target parameter of variation modal decomposition by taking the minimum envelope entropy as an fitness function;
and the VMD module is used for setting parameters of variation modal decomposition as the target parameters, and carrying out variation modal decomposition on the PD signals to obtain a plurality of characteristic signals centering on different frequencies.
3. An insulation level monitoring adjustment system based on electrical tree monitoring according to claim 2, characterized in that the target parameters comprise penalty factors and modal numbers.
4. An insulation level monitoring adjustment system based on electrical tree monitoring according to claim 2, characterized in that the adaptive parameter module comprises an envelope entropy calculation module;
the envelope entropy calculation module is configured to calculate an envelope entropy after performing hilbert transformation on each characteristic signal, and specifically includes:
wherein S is envelope entropy, N is the number of characteristic signals, and h (j) is a signal obtained after Hilbert transformation is carried out on the jth characteristic signal.
5. An insulation level monitoring adjustment system based on electrical tree monitoring according to claim 1, characterized in that the energy vector order is arranged according to a decomposition progression; the first judging module is specifically configured to:
if the maximum value in the energy vector is a value corresponding to the first decomposition level, determining that the growth stage of the region corresponding to the energy vector is complete;
and if the maximum value in the energy vector is not the value corresponding to the first decomposition level, determining that the growth stage of the region corresponding to the energy vector is incomplete growth.
6. An insulation level monitoring regulating system based on electrical tree monitoring according to claim 5, wherein the electrical tree comprises a start state, a dead-man state, a growth state and a breakdown state;
the first judging module is specifically configured to:
if the root region, the spreading region and the end region are not grown, the electric tree is in a starting state;
if the root region is grown and the spread region and the end region are not grown, the electrical tree is in a long-lag state;
if the root region and the spreading region complete growth and the end region do not complete growth, the electrical tree is in a growing state;
if the root region, the spreading region, and the end region all complete growth, the electrical tree is in a breakdown state.
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CN114089138A (en) * | 2021-11-26 | 2022-02-25 | 平顶山天安煤业股份有限公司 | High-voltage cable partial discharge online monitoring method and system |
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CN101464235A (en) * | 2009-01-12 | 2009-06-24 | 重庆大学 | Test method and apparatus for polymer power cable insulation accelerated electric tree aging |
CN107091974A (en) * | 2016-10-26 | 2017-08-25 | 哈尔滨理工大学 | A kind of electric branch path partially Discharge analysis system based on LabVIEW |
WO2021056727A1 (en) * | 2019-09-27 | 2021-04-01 | 山东科技大学 | Joint noise reduction method based on variational mode decomposition and permutation entropy |
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