Fault detection and classification of analog circuits by means of fuzzy logic-based techniques

This paper presents a fuzzy system for the fault detection and classification in analog circuits. This fuzzy system uses the results of a set of Monte-Carlo runs of the circuit, under nominal and faulty condition, to adjust its parameters following a backpropagation technique. Experimental results obtained with two CMOS analog opamps are also presented.