CN115290759A - Intelligent porcelain insulator nondestructive testing analysis method - Google Patents
Intelligent porcelain insulator nondestructive testing analysis method Download PDFInfo
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- CN115290759A CN115290759A CN202210935980.9A CN202210935980A CN115290759A CN 115290759 A CN115290759 A CN 115290759A CN 202210935980 A CN202210935980 A CN 202210935980A CN 115290759 A CN115290759 A CN 115290759A
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- 239000012212 insulator Substances 0.000 title claims abstract description 97
- 229910052573 porcelain Inorganic materials 0.000 title claims abstract description 24
- 238000009659 non-destructive testing Methods 0.000 title claims abstract description 20
- 238000004458 analytical method Methods 0.000 title claims abstract description 14
- 238000001514 detection method Methods 0.000 claims abstract description 65
- 239000013598 vector Substances 0.000 claims abstract description 33
- 230000002950 deficient Effects 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims abstract description 8
- 238000010835 comparative analysis Methods 0.000 claims abstract description 4
- 239000000523 sample Substances 0.000 claims description 9
- 230000005284 excitation Effects 0.000 claims description 6
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000009432 framing Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000001228 spectrum Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 abstract description 8
- 238000001931 thermography Methods 0.000 abstract description 6
- 238000005516 engineering process Methods 0.000 description 7
- 239000000919 ceramic Substances 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000035882 stress Effects 0.000 description 2
- 238000000825 ultraviolet detection Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000006353 environmental stress Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/12—Analysing solids by measuring frequency or resonance of acoustic waves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4409—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison
- G01N29/4427—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison with stored values, e.g. threshold values
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4445—Classification of defects
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- Pathology (AREA)
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- General Physics & Mathematics (AREA)
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- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
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Abstract
The invention discloses an intelligent nondestructive testing analysis method for a porcelain insulator, which relates to the field of nondestructive testing of insulators and solves the problem that the existing nondestructive testing of the insulators has inconvenience in testing due to the fact that modes such as infrared thermal imaging testing, ultraviolet testing, ultrasonic testing and the like are greatly limited, and the following scheme is provided and comprises the following steps: s1: establishing a complete insulator detection result database: s2: the detection of the insulator to be detected: detecting operations from (1) to (6) in S1 are adopted, and a voiceprint characteristic vector data detection result of a single insulator to be detected can be obtained; s3: and (3) comparative analysis: and comparing the normal insulator detection result with the defective insulator detection result in the voiceprint feature vector library to obtain the quality condition of the insulator to be detected. The method has the characteristics that the acoustic vibration detection result is compared and analyzed, the acoustic vibration detection result of the defective insulator can be effectively distinguished, and the detection and analysis are efficient.
Description
Technical Field
The invention relates to the field of insulator nondestructive testing, in particular to an intelligent porcelain insulator nondestructive testing analysis method.
Background
The post porcelain insulator is a key insulating part in a power system, and enables equipment such as a line, an isolating switch and the like to be insulated from the ground in links such as power generation, power transmission, power transformation and the like, so that the operation safety of the line is ensured. However, ceramic is a brittle material, has very low toughness, and is easily broken, and the working environment of the post porcelain insulator is harsh, and under the action of electricity, heat, mechanical stress and environmental stress during operation, stress concentration is easily formed once micro defects are generated, and breaking damage can be caused in a short time. Therefore, it is necessary to perform online detection on the post porcelain insulator of the power grid to ensure safe operation of the power grid.
Because the post porcelain insulator is often directly connected with a high-voltage line, the requirements of electromagnetic environment and safety all cause great obstacles for online detection. The current insulator detection technologies commonly used include infrared thermal imaging detection technology, ultraviolet detection technology, ultrasonic detection technology and the like. The infrared thermal imaging detection resolution is low, so that the infrared thermal imaging detection method is difficult to be used for detecting small cracks, particularly unexposed cracks; the ultraviolet detection is only suitable for detecting open cracks, and has no effect on ceramic defects in a fracture danger area of the end face of the flange; the resolution of ultrasonic detection is high, but power failure detection is necessary due to the requirement of safe distance of a high-voltage line. Vibro-acoustic detection is a new detection method, and the integral integrity of the post porcelain insulator can be judged by analyzing the resonance frequency of the post porcelain insulator without power failure. Therefore, an intelligent porcelain insulator nondestructive testing analysis method is provided.
Disclosure of Invention
The invention aims to provide an intelligent nondestructive testing and analyzing method for porcelain insulators, and solves the problems that in the existing nondestructive testing for insulators, the infrared thermal imaging testing resolution is low, the infrared thermal imaging testing method is difficult to be used for detecting small cracks, the ultraviolet testing method is only suitable for detecting open cracks, the method has no effect on ceramic defects in a fracture dangerous area of the end face of a flange, the ultrasonic testing resolution is high, and power failure detection is required due to the requirement on the safety distance of a high-voltage line.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent porcelain insulator nondestructive testing analysis method comprises the following steps:
s1: establishing a complete insulator detection result database:
(1) Taking a qualified and undamaged insulator, and placing the insulator on a detection frame;
(2) During detection, probes of the transmitter and the receiver are forced to be pressed against a flange at the bottom of the insulator, and the instrument sends a series of white noises to the insulator through the transmitter probe for excitation;
(3) Detecting a response signal of the insulator under the white noise excitation signal through a receiver probe to obtain related vibration signal data of the insulator;
(4) The related vibration signal data is a sound wave signal, and the voiceprint characteristics of the related sound wave signal are extracted through a linear prediction coefficient cepstrum algorithm;
(5) Calculating a linear prediction coefficient cepstrum (Cn) of the signal;
(6) Averaging LPC cepstrum vectors of each frame of the signal to obtain an average LPC cepstrum vector of the frame as a voiceprint feature vector of the signal so as to obtain voiceprint feature vector data of a perfect insulator detection result,
(7) Detecting a plurality of good insulators in the steps (1) to (6), and summarizing to obtain a voiceprint feature vector database;
s2: the detection of the insulator to be detected: and (3) detecting the voiceprint characteristic vector data of the single insulator to be detected by adopting the detection operations from (1) to (6) in the step (1).
S3: and (3) comparative analysis: and comparing the normal insulator detection result with the defective insulator detection result in the voiceprint feature vector library to obtain the quality condition of the insulator to be detected.
Preferably, since the prediction order is 12 in S1, each frame Cn is a 13-dimensional vector.
Preferably, the extracting the voiceprint features in (4) of S1 includes: preprocessing and framing the signals.
Preferably, in the comparison between the normal insulator detection result and the defective insulator detection result in the S3 voiceprint feature vector library, on the power spectrum, except for the difference at the maximum peak position, the energy distribution also has a significant difference, and the energy distribution of the defective insulator detection signal appears to be more dispersed and disordered.
Compared with the related technology, the intelligent nondestructive testing analysis method for the porcelain insulator, provided by the invention, has the following beneficial effects:
the invention provides an intelligent nondestructive testing and analyzing method for porcelain insulators, which classifies and arranges the detection results of intact insulators and defective insulators, establishes a voiceprint feature vector library by a voiceprint recognition and analysis technology, and can effectively distinguish the acoustic vibration detection result of the defective insulator by comparing, analyzing and discovering the acoustic vibration detection result of the porcelain insulator by adopting the feature vector library.
The invention provides an intelligent nondestructive testing analysis method for porcelain insulators, which is characterized in that a complete large database is established by detecting perfect insulators in advance, then in subsequent detection, the insulators to be detected are compared with data in the large database, and a detection result can be obtained by directly analyzing and comparing the data with the large database, so that the detection efficiency is improved.
Drawings
Fig. 1 is a flow chart of an intelligent nondestructive testing and analyzing method for porcelain insulators.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments; all other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 1, the present invention provides a technical solution: an intelligent porcelain insulator nondestructive testing analysis method comprises the following steps:
s1: establishing a complete insulator detection result database:
(1) Taking a qualified and undamaged insulator, and placing the insulator on a detection frame;
(2) During detection, probes of the transmitter and the receiver are forcibly pressed against a flange at the bottom of the insulator, and the instrument sends a series of white noises to the insulator through the transmitter probe for excitation;
(3) Detecting a response signal of the insulator under the white noise excitation signal through a receiver probe to obtain related vibration signal data of the insulator;
(4) The related vibration signal data is a sound wave signal, and the voiceprint characteristics of the related sound wave signal are extracted through a linear prediction coefficient cepstrum algorithm;
(5) Calculating a linear prediction coefficient cepstrum (Cn) of the signal;
(6) Averaging LPC cepstrum vectors of each frame of the signal to obtain an average LPC cepstrum vector of the frame as a voiceprint feature vector of the signal so as to obtain voiceprint feature vector data of a perfect insulator detection result,
(7) Detecting a plurality of good insulators in the steps (1) to (6), and summarizing to obtain a voiceprint feature vector database;
s2: the detection of the insulator to be detected: and (3) detecting the voiceprint characteristic vector data of the single insulator to be detected by adopting the detection operations from (1) to (6) in the step (1).
S3: and (3) comparative analysis: and comparing the normal insulator detection result with the defective insulator detection result in the voiceprint feature vector library to obtain the quality condition of the insulator to be detected.
In S1, since the prediction order is 12, each frame Cn is a 13-dimensional vector.
The step (4) of S1, wherein the voiceprint feature extraction comprises: preprocessing and framing the signals.
In the comparison of the normal insulator detection result and the defective insulator detection result in the S3 voiceprint feature vector library, on the power spectrum, except for the difference in the maximum peak position, the energy distribution also has an obvious difference, and the energy distribution of the defective insulator detection signal appears to be more dispersed and disordered.
In the embodiment, the detection results of perfect insulators and defective insulators are classified and sorted, a voiceprint feature vector library is established by a voiceprint recognition and analysis technology, and the acoustic vibration detection results of porcelain insulators are compared, analyzed and found by adopting the feature vector library, so that the acoustic vibration detection results of defective insulators can be effectively distinguished; the perfect insulator is detected in advance to establish a perfect big database, then in the subsequent detection, the insulator to be detected is compared with the data in the big database, and the detection result can be directly obtained through the analysis and comparison with the big data, so that the detection efficiency is improved.
Claims (4)
1. An intelligent porcelain insulator nondestructive testing analysis method is characterized by comprising the following steps:
s1: establishing a perfect insulator detection result database:
(1) Taking a qualified and undamaged insulator, and placing the insulator on a detection frame;
(2) During detection, probes of the transmitter and the receiver are forcibly pressed against a flange at the bottom of the insulator, and the instrument sends a series of white noises to the insulator through the transmitter probe for excitation;
(3) Detecting a response signal of the insulator under the white noise excitation signal through a receiver probe to obtain related vibration signal data of the insulator;
(4) The related vibration signal data is a sound wave signal, and the voiceprint characteristics of the related sound wave signal are extracted through a linear prediction coefficient cepstrum algorithm;
(5) Calculating a linear prediction coefficient cepstrum (Cn) of the signal;
(6) Averaging LPC cepstrum vectors of each frame of the signal to obtain an average LPC cepstrum vector of the frame as a voiceprint feature vector of the signal so as to obtain voiceprint feature vector data of a perfect insulator detection result,
(7) Detecting a plurality of good insulators in the steps (1) to (6), and summarizing to obtain a voiceprint feature vector database;
s2: the detection of the insulator to be detected: and (4) detecting the acoustic pattern feature vector data of the single insulator to be detected by adopting the detection operations from (1) to (6) in the step (S1).
S3: and (3) comparative analysis: and comparing the detection result of the normal insulator with the detection result of the defective insulator in the voiceprint feature vector library to obtain the quality condition of the insulator to be detected.
2. The intelligent nondestructive testing and analyzing method for porcelain insulators according to claim 1, wherein the prediction order in S1 is 12, so that each frame Cn is a 13-dimensional vector.
3. The intelligent nondestructive testing and analyzing method for porcelain insulators according to claim 1, wherein the extracting of the voiceprint features in the step (4) of S1 comprises: preprocessing and framing the signals.
4. The intelligent nondestructive testing and analyzing method for porcelain insulators according to claim 1, wherein in the comparison between the normal insulator detection result and the defective insulator detection result in the S3 voiceprint feature vector library, in the power spectrum, besides the difference in the maximum peak position, the energy distribution is also significantly different, and the energy distribution of the defective insulator detection signal appears more dispersed and disordered.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2816106C1 (en) * | 2023-08-31 | 2024-03-26 | Общество с ограниченной ответственностью Научно-производственное объединение "Логотех" | Method for non-destructive acoustic control of ceramic support-rod insulators |
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| CN105118516A (en) * | 2015-09-29 | 2015-12-02 | 浙江图维电力科技有限公司 | Identification method of engineering machinery based on sound linear prediction cepstrum coefficients (LPCC) |
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| CN113340991A (en) * | 2021-06-21 | 2021-09-03 | 海南电网有限责任公司乐东供电局 | Vibration acoustic detection device for porcelain post insulator |
| CN114139745A (en) * | 2021-12-01 | 2022-03-04 | 北京磁浮有限公司 | Information processing and control method, device and terminal for rail transit power supply and distribution facility |
| CN114487804A (en) * | 2022-01-18 | 2022-05-13 | 国网浙江省电力有限公司 | GIS abnormal sound defect detection method and device |
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Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2002229597A (en) * | 2000-11-30 | 2002-08-16 | Matsushita Electric Ind Co Ltd | Vector quantizing device for lpc parameter |
| CN102982351A (en) * | 2012-11-15 | 2013-03-20 | 河北省电力公司电力科学研究院 | Porcelain insulator vibrational acoustics test data sorting technique based on back propagation (BP) neural network |
| CN105118516A (en) * | 2015-09-29 | 2015-12-02 | 浙江图维电力科技有限公司 | Identification method of engineering machinery based on sound linear prediction cepstrum coefficients (LPCC) |
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| CN113340991A (en) * | 2021-06-21 | 2021-09-03 | 海南电网有限责任公司乐东供电局 | Vibration acoustic detection device for porcelain post insulator |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| RU2816106C1 (en) * | 2023-08-31 | 2024-03-26 | Общество с ограниченной ответственностью Научно-производственное объединение "Логотех" | Method for non-destructive acoustic control of ceramic support-rod insulators |
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