Title :
Soft fault diagnosis in analogue circuits: a comparison of fuzzy approach with radial basis function networks
Author :
Catelani, Marcantonio ; Fort, Ada ; Bigi, Michele ; Singuaroli, Roberto
Author_Institution :
Dept. of Electron. Eng., Florence Univ., Italy
Abstract :
A fault diagnosis technique of electronic analogue circuits, based on a fuzzy approach is presented. Its performance is compared to that obtained by a neural network (radial basis function) approach. The effects of noise and of non-faulty parameter tolerance are taken into account
Keywords :
analogue circuits; fault simulation; fuzzy logic; fuzzy set theory; pattern classification; pattern clustering; radial basis function networks; unsupervised learning; analogue circuits; fault dictionary; fuzzy approach; fuzzy classifier; noise effect; non-faulty parameter tolerance; optimum classification; radial basis function networks; soft fault diagnosis; supervised algorithm; unsupervised algorithm; Circuit faults; Circuit noise; Circuit testing; Dictionaries; Electrical fault detection; Fault diagnosis; Frequency; Fuzzy neural networks; Neural networks; Radial basis function networks;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-5890-2
DOI :
10.1109/IMTC.2000.848722
