Fault diagnosis method of circuit breaker operating mechanism based on coil current analysis

被引：2
|
作者：
Chen C. [1 ]
Li X.-R. [1 ]
机构：
[1] Institute of System Science and Control, Zhejiang University, Hangzhou
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2016年 / 50卷 / 03期
关键词：
Bayesian updating; Circuit breaker; Dempste/Shafer (DS) theory; Fault diagnosis; Operating mechanism;
D O I：
10.3785/j.issn.1008-973X.2016.03.017
中图分类号：
学科分类号：
摘要：
A coil current analytical method for diagnosing circuit breaker (CB) operation mechanism malfunction was proposed based on the combination of Bayesian updating and Dempster/shafer (DS) theory. By obtaining ideal features of coil current from the coil model, the feature error was compensated with the comparison between ideal and real current features in order to offset the environment effect. On the purpose of reducing the influence of measurement error, the posteriori estimation was calculated with history sampling data for describing the distribution parameters of feature error by means of Bayesian updating. On the basis of posteriori distribution, the probability was segmented and fused by the way of uncertainty rules and DS methodology respectively, so that the malfunctions of operation mechanism can be assessed effectively. Experimented with the testing platform, malfunctions were simulated and diagnosed. The result illustrates that the proposed algorithm can quickly recognize fault within 1 to 2 times after the appearance of failure data, which means that the modified method can work against the impact of system measurement error effectively. The diagnosis and classification are sensitive and accurate, which provides maintenance with reliable basis. © 2016, Zhejiang University Press. All right reserved.
引用
收藏
页码：527 / 535
页数：8
相关论文
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