Title :
Research on circuit fault diagnosis based on NNs and volterra series
Author :
Cao Bin ; Yi Quan ; Liu Zong-ren ; Yang Jian-chang ; Xie Guo-dong
Author_Institution :
Dept. of Control Eng., Acad. of Armored Forces Eng., Beijing, China
Abstract :
This paper expatiated on the basic method for circuit fault diagnosis with NNs, then introduced the characteristics of volterra series and applied it on circuit fault feature extraction. The scheme with both NNs and volterra series technique had a good resolving power on fault diagnosis according to practice. It was fitting for engineering applying.
Keywords :
Volterra series; fault diagnosis; feature extraction; Volterra series; circuit fault diagnosis; circuit fault feature extraction; Analog circuits; Artificial neural networks; Circuit faults; Control engineering; Fault diagnosis; Fitting; Instruments; NNs; fault diagnosis; volterra series;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777518
