Remote Intelligent Fault Diagnosis of Analog Circuit

摘要：

A remote intelligent fault diagnosis approach of analog circuit based on probabilistic neural network (PNN) and virtual instrument technology, called RPNN, is proposed. Firstly, PNN is used to classify the faults. Then, remote fault diagnosis is realized by virtual instrument technology. Simulation results illustrate that RPNN is feasible to soft fault diagnosis in analog circuit. RPNN can provide an accepted degree of accuracy in fault classification under different soft fault conditions and can be operated remotely from another site connected to the server via the World Wide Web.

关键词： fault diagnosis RPNN PNN remote LabVIEW analog circuit

作者: Qing Yang Yuanyuan Zhu Feng Wu

作者单位: School of Information Science and Engineering,Shenyang Ligong University Shenyang, China College of School of Information Science and Engineering,Shenyang Ligong University Shenyang, China

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 1703-1706

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）