A automatic fault diagnosis technique based on fuzzy classification is proposed for analog circuits analysis. The classifier performance is very similar to that of a radial basis function neural classifier. Taking into account noise and non-faulty parameter tolerance effects, the diagnosis system is able to locate faults both at component and subsystem levels with low error.
Soft fault diagnosis in analogue circuits: A comparison of fuzzy approach with radial basis function networks / Catelani, Marcantonio; Fort, Ada; Bigi, Michele; Singuaroli, Roberto. - STAMPA. - 3:(2000), pp. 1493-1498. (Intervento presentato al convegno IMTC/2000 - 17th IEEE Instrumentation and Measurement Technology Conference 'Smart Connectivity: Integrating Measurement and Control' tenutosi a Baltimore, MD, USA, null nel 2000).
Soft fault diagnosis in analogue circuits: A comparison of fuzzy approach with radial basis function networks
CATELANI, MARCANTONIO;Singuaroli, Roberto
2000
Abstract
A automatic fault diagnosis technique based on fuzzy classification is proposed for analog circuits analysis. The classifier performance is very similar to that of a radial basis function neural classifier. Taking into account noise and non-faulty parameter tolerance effects, the diagnosis system is able to locate faults both at component and subsystem levels with low error.
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