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A method for intelligent identification of power cable fault discharge sound

A cable fault and power cable technology, which is applied in the direction of measuring electricity, measuring electrical variables, and testing dielectric strength, etc., can solve the problems of manual identification of fault discharge sound experience and skills out of the field environment, environmental noise interference, difficulty in teaching and inheritance, etc. , to reduce training costs and labor costs, reduce environmental noise and interference, and improve work efficiency

Active Publication Date: 2020-09-25
SHANDONG KEHUI POWER AUTOMATION +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] At present, the acoustic measurement method and the acousto-magnetic synchronization method still have the following shortcomings in the recognition of fault discharge sounds: (1) The fault discharge sound recognition depends entirely on the personal experience of the tester, and it is difficult for inexperienced testers to accurately identify the fault discharge sound
(2) Due to the large amount of environmental noise and interference at the test site, it is often difficult for even experienced testers to accurately distinguish and identify fault discharge sounds
(3) The training time for manual recognition of faulty discharge sounds is long and costly, and the experience and skills of manual recognition of faulty discharge sounds are difficult to teach and inherit without the on-site environment

Method used

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Examples

Experimental program
Comparison scheme
Effect test

example 1

[0097] The above steps will be described in detail below through an example of a cable fault discharge sound and an example of a non-cable fault discharge sound. Example 1: When the sound information is the sound of cable fault discharge:

[0098] Step 1, collect the sound signal at one end with a duration T of 100ms, and use an A / D converter with a unipolar resolution N of 12 bits to obtain a group of original data x of cable fault discharge sound with a sampling point n of 800 0 (i), whose waveform is as figure 2 shown.

[0099] Step 2, the original data of cable fault discharge sound x 0 (i) Carry out DC processing to obtain data x after DC processing 1 (i), if image 3 shown. Then for data x 1 (i) Perform normalization processing to obtain data x 2 (i), if Figure 4 shown.

[0100] Using normalized data x 2 (i), calculate the short-term energy distribution x of the sound signal data with a step size D of 50 3 (i) (if Figure 5 shown), calculate the short-term ...

example 2

[0105] Example 2: When the sound information is non-cable fault discharge sound:

[0106] Step 1, collect the sound signal at one end with a duration T of 100ms, and use an A / D converter with a unipolar resolution N of 12 bits to obtain a set of original data x' of cable fault discharge sound with a sampling point n of 800 0 (i), whose waveform is as Figure 8 shown.

[0107] Step 2, the original data x' of cable fault discharge sound 0 (i) Carry out DC processing to obtain the data x' after DC processing 1 (i), if Figure 9 shown. Then for data x' 1 (i) Perform normalization processing to obtain data x' 2 (i), if Figure 10 shown.

[0108] Using normalized data x' 2 (i), calculate the short-term energy distribution x' of the sound signal data with a step size D of 50 3 (i) (if Figure 11 shown), calculate the short-term zero-crossing rate x' with a threshold th of 0.5 4 (i), (if Figure 12 shown).

[0109] Using the short-term energy distribution data x' 3 (i),...

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Abstract

The invention discloses an intelligent power cable fault discharging sound recognition method, which belongs to the field of power cable fault detection. The method is characterized by comprising thefollowing steps: 1, sound signals are sampled and analog-to-digital conversion is carried out; 2, data preprocessing and feature extraction are carried out; 3, the feature vector of the extracted sound signals is fed into a support vector machine for recognition and a judgment result is obtained; 4, if the current sound signals are cable fault discharging sound, steps from the fifth to the seventhare sequentially executed, and if not the cable fault discharging sound, the seventh step is executed; 5, data of the current sound signals are saved; 6, a correlation coefficient is calculated; and7, the judgment result and a sound signal waveform are displayed. In the intelligent power cable fault discharging sound recognition method disclosed in the invention, based on the support vector machine, the power cable fault discharging sound can be automatically recognized, thereby getting rid of restrictions of relying on the personal experience of a tester for a long time and greatly enhancing the working efficiency of a power cable fault fixed point.

Description

technical field [0001] The invention discloses an intelligent identification method for power cable fault discharge sound, which belongs to the field of power cable fault detection. Background technique [0002] Power cables are widely used in urban underground power grids, internal power supply lines of industrial and mining enterprises, and underwater power transmission lines across rivers and seas. Once the cable fails, it will cause power outage losses to the production of enterprises and bring inconvenience to the lives of residents. Therefore, after the cable fails, it is necessary to find the fault as soon as possible and repair it. [0003] Finding cable faults generally requires three steps: fault diagnosis, fault location and fault location. Fault diagnosis is to use multimeter and other tools and equipment to check the connectivity of each phase of the cable and the insulation resistance of the fault phase. The purpose of testing the length of the cable between ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/12G10L25/48
CPCG01R31/1209G01R31/1272G10L25/48
Inventor 徐丙垠李峰宫照辉颜廷纯朱启林
Owner SHANDONG KEHUI POWER AUTOMATION