电力信息通信故障智能诊断方法研究
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摘要
针对电力信息通信系统运转中出现的组件类目复杂、数据拓扑结构多样的问题,考虑引起故障预警的原因具有各式各样的特征,提出一种电力信息通信故障智能诊断方法,利用建立故障诊断知识库和小波转换解析行波信息获取诊断输出。实验论证可知,利用电力信息通信故障智能诊断方法进行故障诊断的准确率更高。
In view of the complexity of component categories and the diversity of data topology in the operation of power information communication system,and the various characteristics of fault early warning,an intelligent fault diagnosis method for power information communication is proposed. The fault diagnosis knowledge base and wavelet transform are used to analyze traveling wave information,and the diagnostic output is obtained. Through experimental demonstration,it is concluded that the intelligent fault diagnosis method based on power information communication has higher accuracy in fault diagnosis.
In view of the complexity of component categories and the diversity of data topology in the operation of power information communication system,and the various characteristics of fault early warning,an intelligent fault diagnosis method for power information communication is proposed. The fault diagnosis knowledge base and wavelet transform are used to analyze traveling wave information,and the diagnostic output is obtained. Through experimental demonstration,it is concluded that the intelligent fault diagnosis method based on power information communication has higher accuracy in fault diagnosis.
引文
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