Nodes fault diagnosis of industrial wireless network
Recently, with the Industry wireless network technology’s developing and maturing, the reliability has become the key points for it to be widely used. But, at present, there are less paper and research about the fault diagnosis of the Industry wireless network’s node, even not much about the fault diagnosis of the wireless sensor network’s node. This paper takes WIA-PA as example for the Industry wireless network to study the fault diagnosis technology of Industry wireless network’s node, proposes a fault diagnosis method for industry wireless network node based on analytical redundancy by taking the large number of field data as realistic basis and the signal singularity of fault as theory basis, uses of the intelligence of artificial neural network and superiority of wavelet in the analysis to local time-frequency characteristics.
Industry Wwireless Network node fault analytical redundancy BP neural network wavelet.
Hongli YUAN Feng LIU
College of Computer and Information Science, Southwest University Chongqing, China Chongqing City Intelligent Instrument and Control Equipment Engineering Technology Center, Southwes
国际会议
重庆
英文
1-5
2011-12-01（万方平台首次上网日期，不代表论文的发表时间）