A Circuit Breaker Fault Diagnosis Method Based on Error Back Propagation Algorithm
A technology of error backpropagation and circuit breaker failure, applied in circuit breaker testing, instruments, measuring devices, etc., can solve problems such as huge workload, increased operational failures, affecting the stability of the power system, and the personal safety of on-site operation and maintenance personnel , to achieve the effect of high calculation accuracy
Active Publication Date: 2020-07-10
XI AN JIAOTONG UNIV +1
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Problems solved by technology
[0004] In actual work, due to the long-term use of the circuit breaker in the power system, with the increase of its opening and closing times and the outdoor high temperature, high humidity environment and biological influence, the electrical life and mechanical life of the circuit breaker will gradually decrease, and the operation failure will gradually decrease. The increase will continue to affect the stability of the power system and the personal safety of on-site operation and maintenance personnel
[0005] At present, although there are many fault diagnosis methods for circuit breakers, most of them are too single, relying only on extracting time, current and other characteristic quantities in the current signal of the opening coil of the circuit breaker as characteristic parameters for comparison and evaluation
The characteristic parameters that this method mainly relies on need to be obtained through a large number of repetitive experiments, especially when there are many types of circuit breakers, the workload is often too large and the error of the calculation results is high
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[0055] The present disclosure is specifically described below in conjunction with specific embodiments;
[0056] The invention provides a circuit breaker fault diagnosis method based on an error backpropagation algorithm. The method mainly includes the following steps:
[0057] Step 1: Extract the characteristic parameters of fault diagnosis;
[0058] Step 2: Establish and train a neural network fault diagnosis model based on the error back propagation algorithm;
[0059] Step 3: Use the trained diagnostic model to perform fault identification on the actual circuit breaker.
[0060]In a specific embodiment, in step 1, in order to select suitable fault diagnosis characteristic parameters, the circuit breaker coil opening and closing current signals in various situations are collected for the circuit breaker under normal working conditions and different fault conditions as Samples, combined with various actual faults, extract multiple time feature quantities and current featur...
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The invention relates to a breaker fault diagnosis method based on an error back propagation algorithm. The method comprises the steps that fault diagnosis feature parameters are extracted; a neural network fault diagnosis model based on the error back propagation algorithm is established and trained; and the trained diagnosis model is utilized to perform fault recognition on a to-be-diagnosed breaker. The method has high calculation precision, adopts a relatively intelligent recognition algorithm and can provide effective help for breaker fault diagnosis.
Description
technical field [0001] The invention belongs to the technical field of electric equipment, and in particular relates to a circuit breaker fault diagnosis method based on an error backpropagation algorithm. [0002] technical background [0003] Circuit breakers are mainly used in power distribution systems and are important equipment widely used in power production, transmission, and transmission. , Cut off the faulty circuit to ensure safe operation. The reliable closing, running and breaking of circuit breakers are related to the normal operation of the entire power distribution system. Therefore, the stability and reliability of circuit breakers are very important. [0004] In actual work, due to the long-term use of the circuit breaker in the power system, with the increase of its opening and closing times and the outdoor high temperature, high humidity environment and biological influence, the electrical life and mechanical life of the circuit breaker will gradually dec...
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IPC IPC(8): G01R31/327
CPCG01R31/3277
Inventor 杨爱军骆挺李韵佳褚飞航王小华刘定新荣命哲王婵琼
Owner XI AN JIAOTONG UNIV