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Contact life evaluation system and method based on multi-source data and neural network

A multi-source data and neural network technology, applied in the field of high-voltage circuit breaker testing, can solve the problem of single basis for contact life, achieve intuitive and accurate results, strict evaluation rules, and rich data sets

Active Publication Date: 2021-01-29
FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a contact life evaluation system and method based on multi-source data and neural network in order to overcome the single defect of the prior art for evaluating the life of contacts

Method used

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  • Contact life evaluation system and method based on multi-source data and neural network
  • Contact life evaluation system and method based on multi-source data and neural network
  • Contact life evaluation system and method based on multi-source data and neural network

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Embodiment 1

[0044] The present invention provides a contact life evaluation system based on multi-source data and neural network, such as figure 1 As shown, the system includes a multi-source data acquisition module, a multi-source data processing module, a feature value extraction module and a learning evaluation module;

[0045] The multi-source data acquisition module collects the contact parameters in each opening process in real time, until the contacts are scrapped when the Nth opening occurs, and N sets of contact parameters are obtained, and the contact parameters are output to the The multi-source data processing module;

[0046] The multi-source data processing module obtains the dynamic contact resistance-temperature curve R(T) and the dynamic contact resistance-stroke curve R(S) of the contact according to the contact parameters, and outputs the two sets of curves to the The feature value extraction module;

[0047] The eigenvalue extraction module extracts eigenvalues ​​in ...

Embodiment 2

[0067] This embodiment provides a contact life assessment method based on multi-source data and neural network, such as image 3 As shown, the method includes the following steps:

[0068] S1: The multi-source data acquisition module obtains the contact parameters during the opening process through the sensor element;

[0069] S2: The multi-source data processing module obtains the dynamic contact resistance-temperature curve R(T) and the dynamic contact resistance-travel curve R(S) of the contact according to the contact parameters obtained in S1;

[0070] S3: The eigenvalue extraction module extracts eigenvalues ​​according to the two sets of curves obtained in S2;

[0071] S4: The learning evaluation module forms a data set according to the feature values ​​obtained in S3, and uses the data set to train the neural network;

[0072] S5: Input the eigenvalues ​​of the contacts of the circuit breaker to be tested into the trained neural network, and the neural network output...

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Abstract

The invention provides a contact life evaluation system and method based on multi-source data and a neural network. The contact life evaluation system comprises a multi-source data acquisition module,a multi-source data processing module, a feature value extraction module and a learning evaluation module, Wherein the multi-source data acquisition module acquires contact parameters in a switching-off process, and outputting feature values to the learning evaluation module after the contact parameters are processed by the multi-source data processing module and extracted by the feature value extraction module; the learning evaluation module enables the feature values to form a data set and trains a neural network; and inputting the feature value of a to-be-tested circuit breaker contact into the trained neural network, and outputting the residual life of the to-be-tested circuit breaker contact by using the neural network. According to the contact life evaluation system and the method,the feature values of the contact are comprehensively processed and analyzed to obtain a huge data set; the neural network is trained by using the data set, and the residual life of the contact evaluated by using the trained neural network; and the contact life evaluation system and the method integrate multi-source data, and are rich in data set, rigorous in evaluation rule and visual and accurate in result.

Description

technical field [0001] The invention relates to the technical field of high-voltage circuit breaker testing, and more specifically, to a contact life evaluation system and method based on multi-source data and neural networks. Background technique [0002] High-voltage circuit breaker is an extremely important part in the power system. It has the advantages of strong breaking capacity, fast action, and small size. It is often used in the field of reactive power compensation in power systems. When the circuit breaker is opened, the arcing contact is connected before the main contact, and a pre-breakdown arc is generated, which causes material loss on the end surface of the arcing contact; when the circuit breaker is closed, the high-temperature static arcing contact is inserted after arc ablation The moving arc contact will cause mechanical wear and material loss; due to the frequent switching of the capacitor bank for reactive power compensation, the closing inrush current d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/327
CPCG01R31/3272
Inventor 陈道品武利会陈邦发陈新诚谢志扬黄静刘益军
Owner FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
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