DocumentCode
539520
Title
A Fault Diagnosis Method for Analog Circuit Based on GRBF Network and Frequency Spectrum Analysis
Author
Ying, Liu ; Li Feng-yu ; Gu-bing, Lu
Author_Institution
Coll. of Electr. & Inf. Eng., Naval Univ. of Eng., Wuhan, China
Volume
1
fYear
2011
fDate
6-7 Jan. 2011
Firstpage
48
Lastpage
51
Abstract
GRBF neural network and frequency spectrum analysis are applied to fault diagnosis for component of power electronic equipment in certain facility. By collecting the voltage signals of key points and proceeding Fourier analysis, the structural parameters of GRBF network are determined. Fault determination mode is established. Both experimental and simulation results show that the proposed method is feasible.
Keywords
analogue circuits; fault diagnosis; neural nets; power electronics; GRBF neural network; analog circuit; fault diagnosis method; frequency spectrum analysis; power electronic equipment; Automation; Mechatronics; Fault diagnosis; GRBF neural network; Spectrum analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location
Shangshai
Print_ISBN
978-1-4244-9010-3
Type
conf
DOI
10.1109/ICMTMA.2011.19
Filename
5720698
Link To Document