DocumentCode
2842314
Title
Analog circuit fault diagnosis based on neural network and fuzzy logic
Author
Bo, Fan ; Peng, Xue ; Junjie, Liu ; Ming, Dong
Author_Institution
Missile Inst. of Air Force Eng. Univ., Sanyuan, China
fYear
2009
fDate
17-19 June 2009
Firstpage
199
Lastpage
202
Abstract
RPROP network is applied to fault diagnosis of analog circuit in time domain and frequency domain. Also the diagnostic results are made use of fuzzy logic to carry on further diagnosis in time domain, frequency domain and comprehensive domain integrated the two domains. Analyses indicate that fault diagnosis of analog circuit using neural network and fuzzy logic in comprehensive domain is effective and accurate.
Keywords
analogue circuits; circuit analysis computing; fault diagnosis; frequency-domain analysis; fuzzy logic; neural nets; time-domain analysis; RPROP network; analog circuit fault diagnosis; frequency domain; fuzzy logic; neural network; time domain; Analog circuits; Circuit faults; Circuit simulation; Dictionaries; Fault diagnosis; Frequency domain analysis; Fuzzy logic; Neural networks; Time domain analysis; Voltage; RPROP; analog circuit; fault diagnosis; fuzzy logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5195112
Filename
5195112
Link To Document