Fault Diagnosis Model of Circuit Breaker Based on Sparse Representation and M-ELM

Authors

Weihua Niu, 1. Department of Computer, North China Electric Power University, Baoding, 071003, China;;
Guishu Liang, 2. Department of Electrical Engineering, North China Electric Power University, Baoding, 071003, China;;
Zhao Peng, 3. State Grid Hebei Electrical Power Company, Shijiazhuang, 050021, China;

Abstract

Abstract: In order to improve the deficiencies of the conventional methods used to evaluate the mechanical properties of circuit breaker, a new circuit breaker diagnosis model based on sparse representation and M-ELM (Memetic-Extreme Learning Machine) is constructed. Auxiliary mark motion on the pull rod or shaft is recorded by a high speed camera when the circuit breaker is open or close. The motion trajectory is acquired through sparse representation and mechanical parameters, such as open and close velocity, are calculated according to the travel-time curve of the circuit breaker. With mechanical parameters characteristic values being inputs of M-ELM, fault of circuit breaker can be diagnosed. Experiment results on the circuit breaker of 12kV show the effectiveness and superiority of the model.

Recommended Citation

Niu, Weihua; Liang, Guishu; and Peng, Zhao (2020) "Fault Diagnosis Model of Circuit Breaker Based on Sparse Representation and M-ELM," Journal of System Simulation: Vol. 29: Iss. 11, Article 32.
DOI: 10.16182/j.issn1004731x.joss.201711032
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss11/32

First Page

2828

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201711032

Last Page

2839

CLC

TM76

Recommended Citation

Niu Weihua, Liang Guishu, Zhao Peng. Fault Diagnosis Model of Circuit Breaker Based on Sparse Representation and M-ELM[J]. Journal of System Simulation, 2017, 29(11): 2828-2839.

DOI

10.16182/j.issn1004731x.joss.201711032