CN108375415A - Transmission line of electricity aero-vibration monitoring device calibration method under a kind of site environment - Google Patents
Transmission line of electricity aero-vibration monitoring device calibration method under a kind of site environment Download PDFInfo
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- CN108375415A CN108375415A CN201810096355.3A CN201810096355A CN108375415A CN 108375415 A CN108375415 A CN 108375415A CN 201810096355 A CN201810096355 A CN 201810096355A CN 108375415 A CN108375415 A CN 108375415A
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- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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Abstract
The invention discloses transmission line of electricity aero-vibration monitoring device calibration methods under a kind of site environment, it includes S1：Transmission line of electricity aero-vibration monitoring device is initialized；S2：Transmission line of electricity aero-vibration monitoring device is asked when sending out school, and judges whether to the vibration frequency of conducting wire and the data acquisition of amplitude；If carrying out data acquisition, S3 is entered step；Conversely, then repeating to judge whether to data acquisition without data acquisition；S3：Start the sensor and communication module power supply in transmission line of electricity aero-vibration monitoring device；S4：The vibration frequency and amplitude of conducting wire in computing electric power line；S5：Result after calculating is calibrated, the error amount after being calibrated.The advantageous effect that the present invention obtains is：The amplitude and frequency that conductor vibration in transmission line of electricity aero-vibration monitoring device can be monitored, with the size of amplitude and frequency come calculate conducting wire wire clamp exit dynamic bending strain, as measure traverse line vibration calibration method.
Description
Technical field
The present invention relates to transmission line wire collimation technique field, transmission line of electricity gentle breeze shakes under especially a kind of site environment
Dynamic monitoring device calibration method.
Background technology
In power generation industry, used general purpose test equipment has the input/output interface of standard, there is corresponding meter
Vertification regulation or calibrating standard are measured, is comparatively easier to realize the automation of calibrating or calibration.And for special survey
Equipment is tried, to realize that the automation difficulty of calibration is bigger.Aero-vibration monitoring device is generally deployed in the defeated of Great span
In electric line, installation site is higher, and will not periodically remove and be calibrated again mostly after installing.Such as transmit electricity under environment at the scene
In circuit aeolian vibration monitoring process, conventional method can not be used to carry out live school to transmission line of electricity aero-vibration monitoring device
It is accurate.
Therefore, it is necessary to transmission line of electricity aero-vibration monitoring device calibration methods under a kind of site environment.
Invention content
In view of the drawbacks described above of the prior art, it is an object of the invention to provide transmission line of electricity under a kind of site environment is micro-
Wind vibration monitoring device calibration method can monitor the amplitude and frequency of conductor vibration in transmission line of electricity aero-vibration monitoring device
Rate, with the size of amplitude and frequency come calculate conducting wire wire clamp exit dynamic bending strain, as measure traverse line vibration calibration
Method.
It is realized the purpose of the present invention is technical solution in this way, transmission line of electricity aeolian vibration under a kind of site environment
Monitoring device calibration method, it includes：Steps are as follows for the calibration method：
S1：Transmission line of electricity aero-vibration monitoring device is initialized；
S2：Transmission line of electricity aero-vibration monitoring device is asked when sending out school, and judges whether to the vibration frequency of conducting wire
It is acquired with the data of amplitude；If carrying out data acquisition, S3 is entered step；Conversely, then repeating to sentence without data acquisition
It is disconnected whether to carry out data acquisition；
S3：Start the sensor and communication module power supply in transmission line of electricity aero-vibration monitoring device；
S4：The vibration frequency and amplitude of conducting wire in computing electric power line；
S5：Result after calculating is calibrated, the error amount after being calibrated.
Further, the calibration equation in the step S5 is as follows：
Wherein, εb：The dynamic bending strain in wire clamp exit, unit are μ ε；d：The outermost strands diamond-mesh of conducting wire, unit are
mm；Yb：Wire clamp, which exports, is bent amplitude, unit mm at 89mm；P2=T/ (EImin), a=89mm；T：Conducting wire is average when experiment
Motion tension, unit Nmm2。
Further, the vibration frequency and magnitude determinations method of conducting wire use in the step S4：Peak-to-peak value method, curve matching
Peak-to-peak value method, quick Fourier transformation method (FFT) afterwards.
Further, the operation principle of the peak-to-peak value method is as follows：The peak-to-peak value of tracer signal determines the number of vibration, this
Method determines whether the point is maximum point or smallest point by comparing the sampled value that the sampled value of certain 1 point is put with its side.
Further, the peak-to-peak value method operation principle after the curve matching is as follows：
Sensor, which is affected by the external environment, makes measurement data have more noise signal, these noise signals shake to analysis gentle breeze
It is dynamic to have a great impact；Curve-fitting method can utilize sampling to be worth to a smooth curve, effectively filter out noise signal, here
Using least square fitting curve；
Existing one group of acceleration sampled data (xj, yj), wherein j=0,1,2 ..., n；n∈N；If polynomial fit function
For formula (2)；
According to functionWith discrete data yjError sum of squares obtained by formula (3)；
In formula, m indicates (m+1) first system of linear equations；I=0,1,2 ..., m；
Determine function coefficients ajSo that functionWith discrete data yiError sum of squares it is minimum, enableJ=
0,1,2 ..., n；Formula (4) can be obtained；
Take S to a according to thisjAsk local derviation, arrangement that can obtain one (m+1) first system of linear equations, solving equations can find out system undetermined
Number aj, and then can determine fitting function.
Further, any sequential continuously measured or signal, may be expressed as the unlimited of different frequency sine wave signal
Superposition；Quick Fourier transformation is calculated different sinusoidal in the signal using the original signal directly measured in a manner of cumulative
Frequency, amplitude, the phase of wave signal；
The operation principle of the quick Fourier transformation method is as follows：
It is 1024Hz, 512 samples being obtained by average value processing that original signal, which contains sample frequency, to these samples into
The quick Fourier transformation that 512 points of row obtains 512 points of sequence of complex numbers, each plural number can indicate signal in a certain frequency
Under feature, such as formula (5)；
In formula, flFor signal frequency；L represents at first point, l=1,2 ..., N；N indicates quick Fourier transformation points；fs
For sample frequency；
The modulus value of the point is exactly the amplitude characteristic under the frequency, is obtained by formula (6)；
In formula, A is signal amplitude；A, b is respectively real and imaginary part；
Aeolian vibration signal can quickly obtain the frequency of vibration signal after quick Fourier transformation as the above analysis
Rate and amplitude.
Further, the step S3 further includes having to select transmission line of electricity aero-vibration monitoring device operating mode, described
Transmission line of electricity aero-vibration monitoring device operating mode includes sensor verification, general measure, zero verification.
By adopting the above-described technical solution, the present invention has the advantage that：Transmission line of electricity aeolian vibration can be monitored
The amplitude and frequency of conductor vibration in monitoring device, it is curved in moving for wire clamp exit to calculate conducting wire with the size of amplitude and frequency
Strain, the calibration method as measure traverse line vibration.Pattern is verified by sensor, aero-vibration monitoring device can be acquired
The Measurement reliability of sensor unit is assessed.Pattern is verified by zero, it can be to entire aero-vibration monitoring device (no
Containing acquisition sensor unit) reliability assessed.Fft algorithm calculating frequency is more accurate, and peak-to-peak value method calculated amplitude
It is more accurate, therefore both methods measurement amplitude and frequency are used respectively, it can accurately obtain the frequency and amplitude of conductor vibration.
Other advantages, target and the feature of the present invention will be illustrated in the following description to a certain extent, and
And to a certain extent, based on will be apparent to those skilled in the art to investigating hereafter, Huo Zheke
To be instructed from the practice of the present invention.The target and other advantages of the present invention can be wanted by following specification and right
Book is sought to realize and obtain.
Description of the drawings
The description of the drawings of the present invention is as follows：
Fig. 1 is the flow diagram of transmission line of electricity aero-vibration monitoring device calibration method under site environment.
Fig. 2 is the amplitude test error curve diagram of a specific embodiment.
Fig. 3 is the frequency test error curve diagram of a specific embodiment.
Fig. 4 is the bending amplitude of vibration method schematic diagram of a specific embodiment.
In figure, 1 is wire clamp or collet, and 2 be grounded-line, and 3 be the contact point of grounded-line and wire clamp, and 4 be bending amplitude Yb(phase
For wire clamp).
Specific implementation mode
The invention will be further described with reference to the accompanying drawings and examples.
Embodiment：As shown in Figures 1 to 4；Transmission line of electricity aero-vibration monitoring device calibration method under a kind of site environment,
It includes：Steps are as follows for the calibration method：
S1：Transmission line of electricity aero-vibration monitoring device is initialized；
S2：Transmission line of electricity aero-vibration monitoring device is asked when sending out school, is determined current time, sample start times, is adopted
Number of samples, sample frequency and acquisition time interval.And judge whether to the vibration frequency of conducting wire and the data acquisition of amplitude；If
Data acquisition is carried out, then enters step S3；Conversely, then repeating to judge whether to data acquisition without data acquisition；
S3：Start the sensor and communication module power supply in transmission line of electricity aero-vibration monitoring device；The transmission line of electricity
Aero-vibration monitoring device operating mode includes sensor verification, general measure, zero verification.Mould is verified by sensor
Formula, the Measurement reliability that sensor unit can be acquired to aero-vibration monitoring device are assessed.Pattern is verified by zero,
The reliability of entire aero-vibration monitoring device (without acquisition sensor unit) can be assessed.
When weather and more stable wind scale, turn on sensor it can verify in accordance with the following steps.
(1) aero-vibration monitoring device measures one group of data (A groups) in general measure pattern；
(2) quickly adjustment aero-vibration monitoring device to sensor verifies pattern, and internal circuit automatically switches to verification and passes
Sensor measures one group of data (B groups)；
(3) quickly adjustment aero-vibration monitoring device measures one group of data (C groups) to general measure pattern.
(4) compare A groups and C group data, if amplitude and frequency measurement difference are less than 10%, continue step (5), otherwise return
It returns (1)；
(5) compare A groups and B group data, if amplitude and frequency measurement difference are less than 20%, then it is assumed that monitoring device is steady
It is fixed reliable, it otherwise can select to verify again or think to verify unqualified.
When opening zero verification pattern, the amplitude and frequency measurement of aero-vibration monitoring device should be 0.According to transmission of electricity
The technology requirement of circuit aero-vibration monitoring device, check standard have reached following technical parameter, as shown in table 1.
The technical parameter of 1 check standard of table
| Frequency measurement range | 0~150Hz |
| The frequency limits of error | ± (5% reading+5Hz) |
| Amplitude measurement range (p-p) | 1.3mm |
| The amplitude limits of error | ± (5% reading+0.05mm) |
S4：The vibration frequency and amplitude of conducting wire in computing electric power line；
S5：Result after calculating is calibrated, the error amount after being calibrated.
Working principle of the present invention is as follows：Transmission line of electricity aero-vibration monitoring device software is mainly determining operating mode
On the basis of, realize the acquisition, processing and transmission of vibration signal.Monitoring device is initialized after mounting, confirm ID number and
Various functions unit is normal.Monitoring device timing is asked when sending out school, determine current time, sample start times, sampling number,
Sample frequency and acquisition time interval.Before starting sampling, turn on sensor and communication module power supply judge operating mode.
After having carried out sampling, relevant treatment is carried out to sampled signal and obtains frequency and amplitude data.
Calibration equation in the step S5 is as follows：
Wherein, εb：The dynamic bending strain in wire clamp exit, unit are μ ε；d：The outermost strands diamond-mesh of conducting wire, unit are
mm；Yb：Wire clamp, which exports, is bent amplitude, unit mm at 89mm；P2=T/ (EImin), a=89mm；T：Conducting wire is average when experiment
Motion tension, unit Nmm2。
On signal processing, the vibration signal of aeolian vibration is usually sinusoidal form, and acquisition module continuous sampling 1s obtains 1
After the discrete vibration signal of group, need by certain frequency and amplitude that sinusoidal signal is calculated.Calculate frequency and amplitude
Method using peak-to-peak value method, the peak-to-peak value method after curve matching, quick Fourier transformation method.
The operation principle of the peak-to-peak value method is as follows：The peak-to-peak value of tracer signal is logical to determine the number of vibration, the method
The sampled value of the sampled value for comparing certain 1 point and its side point is crossed to determine whether the point is maximum point or smallest point.This side
Method is fairly simple, and arithmetic speed is fast, but since monitoring terminal is under forceful electric power magnetic environment, and for electromagnetic interference than more serious, processing is single
Member is easy some noise signal being mistakenly considered crest value or valley value, causes frequency and amplitude that can all generate error.
Peak-to-peak value method operation principle after the curve matching is as follows：
Sensor, which is affected by the external environment, makes measurement data have more noise signal, these noise signals shake to analysis gentle breeze
It is dynamic to have a great impact；Curve-fitting method can utilize sampling to be worth to a smooth curve, effectively filter out noise signal, here
Using least square fitting curve；
Existing one group of acceleration sampled data (xj, yj), wherein j=0,1,2 ..., n；n∈N；If polynomial fit function
For formula (2)；
According to functionWith discrete data yjError sum of squares obtained by formula (3)；
In formula, m indicates (m+1) first system of linear equations；I=0,1,2 ..., m；
Determine function coefficients ajSo that functionWith discrete data yiError sum of squares it is minimum, enableJ=
0,1,2 ..., n；Formula (4) can be obtained；
Take S to a according to thisjAsk local derviation, arrangement that can obtain one (m+1) first system of linear equations, solving equations can find out system undetermined
Number aj, and then can determine fitting function.Noise signal can be effectively filtered out by least square fitting curve, but uses multinomial
The data in 1~2 period of interception are needed to be fitted to be fitted SIN function, otherwise matched curve distortion will be very serious.Therefore such as
Fruit selects least square fitting curve, it is necessary to assure the initial data of fitting is the data in 2 periods of signal.Through overtesting
Analysis, frequency>Many logical operations are needed when 10Hz using least square method, and effect is not fine, and signal frequency is 1
When~10Hz, least square method is easy to implement and effect is than more significant.
Any sequential continuously measured or signal may be expressed as the unlimited superposition of different frequency sine wave signal；Soon
Fast Fourier transformation calculates different sine wave signals in the signal using the original signal directly measured in a manner of cumulative
Frequency, amplitude, phase；
The operation principle of the quick Fourier transformation method is as follows：
It is 1024Hz, 512 samples being obtained by average value processing that original signal, which contains sample frequency, to these samples into
The quick Fourier transformation that 512 points of row obtains 512 points of sequence of complex numbers, each plural number can indicate signal in a certain frequency
Under feature, such as formula (5)；
In formula, flFor signal frequency；L represents at first point, l=1,2 ..., N；N indicates quick Fourier transformation points；fs
For sample frequency；
The modulus value of the point is exactly the amplitude characteristic under the frequency, is obtained by formula (6)；
In formula, A is signal amplitude；A, b is respectively real and imaginary part；
Aeolian vibration signal can quickly obtain the frequency of vibration signal after quick Fourier transformation as the above analysis
Rate and amplitude.Through experiment, fft algorithm calculating frequency is more accurate, and peak-to-peak value method calculated amplitude is more accurate, therefore uses respectively
Both methods measurement amplitude and frequency can accurately obtain the frequency and amplitude of conductor vibration.
According to State Grid Corporation of China company standard Q/GDW 245-2010《The general skill of overhead transmission line on-line monitoring system
Art condition》, according to the type of tested grounded-line, ranging from one of following two kinds of the amplitude measurement of aeolian vibration collecting unit.
(1) 0~0.6mm (p-p)；
(2) 0~1.3mm (p-p).
Frequency measurement range is at least 0~150Hz.
Composition error should be less than 10%.
It is detected experiment in certain measurement centre, test data is as shown in table 2, table 3 and Fig. 2, Fig. 3.Test product one shares two
A Measurement channel, wherein channel 1 are general measure channel, corresponding " test product indicating value 1 "；Channel 2 is to verify channel, corresponding " test product
Indicating value 2 ".
As shown in Figure 2, two channel amplitude measurement errors of test product are respectively less than the limits of error.From the figure 3, it may be seen that test product two
A channel frequence measurement error is respectively less than the limits of error.Wherein, 1 limits of error of test product indicating value and test product indicating value 2 be most
Big allowable error overlaps.
In conclusion the performance of check standard meets design requirement.
The amplitude calibration data (p-p) of 2 check standard of table
| Serial number | Amplitude standards value (mm) | Test product indicating value 1 (mm) | Test product indicating value 2 (mm) |
| 1 | 0.13 | 0.122 | 0.125 |
| 2 | 0.26 | 0.244 | 0.246 |
| 3 | 0.52 | 0.523 | 0.533 |
| 4 | 0.78 | 0.822 | 0.824 |
| 5 | 1.04 | 1.107 | 1.107 |
| 6 | 1.3 | 1.213 | 1.224 |
The frequency calibration data of 3 check standard of table
| Serial number | Frequency standard value (Hz) | Test product indicating value 1 (Hz) | Test product indicating value 2 (Hz) |
| 1 | 5.0 | 5.0 | 5.0 |
| 2 | 15.0 | 14.8 | 14.7 |
| 3 | 30.0 | 29.8 | 29.8 |
| 4 | 60.0 | 58.7 | 58.8 |
| 5 | 90.0 | 88.7 | 88.6 |
| 6 | 120.0 | 117.3 | 117.1 |
| 7 | 150.0 | 148.3 | 147.3 |
Finally illustrate, the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although with reference to compared with
Good embodiment describes the invention in detail, it will be understood by those of ordinary skill in the art that, it can be to the skill of the present invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of the technical program, should all be covered in the present invention
Right in.
Claims (7)
1. transmission line of electricity aero-vibration monitoring device calibration method under a kind of site environment, which is characterized in that the calibration method
Steps are as follows：
S1：Transmission line of electricity aero-vibration monitoring device is initialized；
S2：Transmission line of electricity aero-vibration monitoring device is asked when sending out school, and is judged whether to the vibration frequency of conducting wire and shaken
The data of width acquire；If carrying out data acquisition, S3 is entered step；Conversely, then repeating judgement without data acquisition is
No progress data acquisition；
S3：Start the sensor and communication module power supply in transmission line of electricity aero-vibration monitoring device；
S4：The vibration frequency and amplitude of conducting wire in computing electric power line；
S5：Result after calculating is calibrated, the error amount after being calibrated.
2. transmission line of electricity aero-vibration monitoring device calibration method under site environment as described in claim 1, which is characterized in that
Calibration equation in the step S5 is as follows：
Wherein, εb：The dynamic bending strain in wire clamp exit, unit are μ ε；d：The outermost strands diamond-mesh of conducting wire, unit mm；Yb：
Wire clamp, which exports, is bent amplitude, unit mm at 89mm；P2=T/ (EImin), a=89mm；T：Conducting wire mean motion when experiment
Power, unit Nmm2。
3. transmission line of electricity aero-vibration monitoring device calibration method under site environment as described in claim 1, which is characterized in that
The vibration frequency and magnitude determinations method of conducting wire use in the step S4：It is peak-to-peak value method after peak-to-peak value method, curve matching, fast
Fast Fourier converter techniques.
4. transmission line of electricity aero-vibration monitoring device calibration method under site environment as claimed in claim 3, which is characterized in that
The operation principle of the peak-to-peak value method is as follows：The peak-to-peak value of tracer signal determines the number of vibration, the method by comparing certain 1
The sampled value that the sampled value of a point is put with its side determines whether the point is maximum point or smallest point.
5. transmission line of electricity aero-vibration monitoring device calibration method under site environment as claimed in claim 3, which is characterized in that
Peak-to-peak value method operation principle after the curve matching is as follows：
Sensor, which is affected by the external environment, makes measurement data have more noise signal, these noise signals have analysis aeolian vibration
Prodigious influence；Curve-fitting method can utilize sampling to be worth to a smooth curve, effectively filter out noise signal, use here
Least square fitting curve；
Existing one group of acceleration sampled data (xj, yj), wherein j=0,1,2 ..., n；n∈N；If polynomial fit function is public affairs
Formula (2)；
According to functionWith discrete data yjError sum of squares obtained by formula (3)；
In formula, m indicates (m+1) first system of linear equations；I=0,1,2 ..., m；
Determine function coefficients ajSo that functionWith discrete data yiError sum of squares it is minimum, enable
Formula (4) can be obtained；
Take S to a according to thisjAsk local derviation, arrangement that can obtain one (m+1) first system of linear equations, solving equations can find out undetermined coefficient aj,
And then it can determine fitting function.
6. transmission line of electricity aero-vibration monitoring device calibration method under site environment as claimed in claim 3, which is characterized in that
Any sequential continuously measured or signal may be expressed as the unlimited superposition of different frequency sine wave signal；Quick Fourier
Transformation is calculated the frequency of different sine wave signals in the signal in a manner of cumulative, shaken using the original signal directly measured
Width, phase；
The operation principle of the quick Fourier transformation method is as follows：
Original signal contains 512 samples that sample frequency is 1024Hz, is obtained by average value processing, is carried out to these samples
512 points of quick Fourier transformation obtains 512 points of sequence of complex numbers, each plural number can indicate signal under a certain frequency
Feature, such as formula (5)；
In formula, flFor signal frequency；L represents at first point, l=1,2 ..., N；N indicates quick Fourier transformation points；fsTo adopt
Sample frequency；
The modulus value of the point is exactly the amplitude characteristic under the frequency, is obtained by formula (6)；
In formula, A is signal amplitude；A, b is respectively real and imaginary part；
As the above analysis aeolian vibration signal can quickly be obtained after quick Fourier transformation vibration signal frequency and
Amplitude.
7. transmission line of electricity aero-vibration monitoring device calibration method under site environment as described in claim 1, which is characterized in that
The step S3 further includes having to select transmission line of electricity aero-vibration monitoring device operating mode, the transmission line of electricity aeolian vibration
Monitoring device operating mode includes sensor verification, general measure, zero verification.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109613117A (en) * | 2018-12-19 | 2019-04-12 | 广州广电计量检测股份有限公司 | Vibrate defectoscope performance parameter preparation method and device |
| CN113557414A (en) * | 2019-03-22 | 2021-10-26 | Abb瑞士股份有限公司 | Device for monitoring equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007093342A (en) * | 2005-09-28 | 2007-04-12 | Yokogawa Electric Corp | Vibration detection device for transmission line |
| CN205015079U (en) * | 2015-09-16 | 2016-02-03 | 深圳市爱科赛科技股份有限公司 | Little wind vibration of transmission line moves monitoring devices |
| CN205192608U (en) * | 2015-09-22 | 2016-04-27 | 广东电网有限责任公司佛山供电局 | Little wind vibration of transmission line moves on -line monitoring device |
| CN106802182A (en) * | 2015-11-26 | 2017-06-06 | 中国电力科学研究院 | A kind of calibration method of transmission line of electricity aeolian vibration on-Line Monitor Device |
| CN107014486A (en) * | 2017-06-06 | 2017-08-04 | 中国电力科学研究院 | The verification unit and method of a kind of transmission line of electricity aero-vibration monitoring device |
-
2018
- 2018-01-31 CN CN201810096355.3A patent/CN108375415A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007093342A (en) * | 2005-09-28 | 2007-04-12 | Yokogawa Electric Corp | Vibration detection device for transmission line |
| CN205015079U (en) * | 2015-09-16 | 2016-02-03 | 深圳市爱科赛科技股份有限公司 | Little wind vibration of transmission line moves monitoring devices |
| CN205192608U (en) * | 2015-09-22 | 2016-04-27 | 广东电网有限责任公司佛山供电局 | Little wind vibration of transmission line moves on -line monitoring device |
| CN106802182A (en) * | 2015-11-26 | 2017-06-06 | 中国电力科学研究院 | A kind of calibration method of transmission line of electricity aeolian vibration on-Line Monitor Device |
| CN107014486A (en) * | 2017-06-06 | 2017-08-04 | 中国电力科学研究院 | The verification unit and method of a kind of transmission line of electricity aero-vibration monitoring device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109613117A (en) * | 2018-12-19 | 2019-04-12 | 广州广电计量检测股份有限公司 | Vibrate defectoscope performance parameter preparation method and device |
| CN113557414A (en) * | 2019-03-22 | 2021-10-26 | Abb瑞士股份有限公司 | Device for monitoring equipment |
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Application publication date: 20180807 |