Remote Monitoring & Diagnosis System Based on RBF Neural Network and Labview 8 Platform
LabVIEW 8-the latest virtual instrument development platform of NI corporation of American is researched, and techniques of network transmission, database connection and multi-developing platform in LabVIEW for monitoring & diagnosis system are introduced. Through comparing various performance parameters of neural networks based on BP (Back propagation) and RBF (radial basis function) function, we choose RBF neural network which is better for real-time monitoring & diagnosis. The combination of traditional time domain, frequency domain and time-frequency domain signal analysis with RBF neural network diagnosis through LabVIEW 8 are realized. Finally, an integrated remote monitoring & diagnosis project of equipment diesel engine combining with LabVIEW and RBF neural network is put forward.
LabVIEW RBF neural network ActiveX fault diagnosis MATLAB script
LUO Zhongxing KANG Xingwu WANG Hangong
Xian High-tech Institute, China
国际会议
The First International Conference on Maintenance Engineering(首届维修工程国际学术会议)
成都
英文
417-422
2006-10-15（万方平台首次上网日期，不代表论文的发表时间）