工矿自动化2011，Vol.37Issue(12)：43-47,5.DOI:32-1627/TP.20111128.1606.013
10kV开关柜的真空断路器神经网络健康诊断策略的研究
Research of Health Diagnosis Strategy with Neural Network of Vacuum Circuit Breakers of 10 kV Switchgear
何澜 1刘星 2王丹丹2
作者信息
- 1. 西安科技大电气与控制工程学院,陕西西安710054
- 2. 平顶山天安煤业股份有限公司六矿,河南平顶山467000
- 折叠
摘要
Abstract
In order to solve problems of lack maintenance and blind repair existed in vacuum circuit breakers of 10 Kv switchgear ,the paper put forward a health diagnosis strategy of vacuum circuit breaker of 10 Kv switchgear based on RBF neural network on basis of analysis of fault type and portent. The strategy uses sensor to extract characteristic parameters of vacuum breaker,obtains characteristic quantity of state of health,and takes these characteristic quantities as input of RBF network to diagnose health condition of vacuum circuit breaker,so as to achieve preventive goal. The simulation results by Matlab proved effectiveness of the strategy.关键词
10 kV开关柜/真空断路器/故障诊断/健康诊断/在线监测/RBF网络Key words
10 Kv switchgear/vacuum circuit breaker/fault diagnosis/health diagnosis/on-line monitoring/RBF network分类
矿业与冶金引用本文复制引用
何澜,刘星,王丹丹..10kV开关柜的真空断路器神经网络健康诊断策略的研究[J].工矿自动化,2011,37(12):43-47,5.
