基于稀疏表示和M-ELM的断路器故障诊断模型

doi:10.16182/j.issn1004731x.joss.201711032

摘要/Abstract

摘要： 针对传统断路器机械特性评估方法的不足,构建了基于稀疏表示和M-ELM(Memetic-Extreme Learning Machine)的断路器故障诊断模型,该模型首先利用稀疏表示方法跟踪断路器分(合)闸过程中与动触头同步运动的连杆或主轴上辅助标志物运动的轨迹;然后,根据该轨迹获取断路器操动机构的行程时间曲线并据此计算断路器的分(合)闸速度等各种机械特性参数;最后,将动触头运动机械特性参数作为M-ELM的输入进行断路器的故障诊断。通过对12 kV真空断路器的测试实验证明了该模型诊断断路器状态的有效性和优越性。

关键词: 断路器, 目标跟踪, 稀疏表示, 多特征联合, M-ELM

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.

Key words: circuit breaker, object tracking, sparse representation, multi-feature fusion, M-ELM

中图分类号:

TM76

牛为华, 梁贵书, 赵鹏. 基于稀疏表示和M-ELM的断路器故障诊断模型[J]. 系统仿真学报, 2017, 29(11): 2828-2839.

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.

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