Fault diagnosis based on integrated neural network and its simualtion research
Na Wang, Yu Liang, Wang Yi-gang · World Automation Congress · 2012
Fault diagnosis is a process of information fusion, for the reasons of low fault diagnosis precision and credibility of traditional diagnosis methods, a fault diagnosis method fusing BP neural Network was presented to realize fault diagnosis. Based on multi-sensor information fusion, to use fault information fully, we give a diagnosis way of multi-network diagnosis respectively from different flank, then, integrate diagnostic result of each network, receiving eventual result. At last an exemple is given to indicate it's validity. By simulation research, indicating the technique can advance veracity and resolve the shortage of single neural network fault diagnosis.