广东电力Issue(7)：64-67,91,5.DOI:10.3969/j.issn.1007-290X.2014.07.013
基于变精度粗糙集-支持向量机的断路器故障诊断
Breaker Fault Diagnosis Based on Variable Precision Rough Set-Support Vector Machine
摘要
Abstract
For reason of great numbers of monitoring data for breaker running,there are disadvantages of complicated net-work structure and slow diagnosis speed for fault diagnosis by using back propagation neural network method and radical ba-sis function neural network method.For rapidly and correctly finding reason for breaker fault,this paper proposes a kind of breaker fault diagnosis algorithm based on variable precision rough set-support vector machine which uses variable precision rough set reduction decision table to remove redundant information in mass monitoring data of the breaker and reduce di-mensionality of process data.Meanwhile,combining support vector machine,it is able to conduct fault diagnosis on informa-tion after being processed by rough set which may reduce subjective factors for diagnosis and be provided with fault tolerance and explanatory characteristic.This diagnosis method was proved to be effectively implementary.关键词
神经网络/变精度粗糙集/支持向量机/故障诊断Key words
neural network/variable precision rough set/support vector machine/fault diagnosis分类
信息技术与安全科学引用本文复制引用
黄新波,陶晨,刘斌..基于变精度粗糙集-支持向量机的断路器故障诊断[J].广东电力,2014,(7):64-67,91,5.基金项目
陕西省重大科技创新项目(2011ZKC01-3) （2011ZKC01-3）
陕西省教育厅产业化培育项目(2013JC13) （2013JC13）
