Analog fault detectability based on statistical circuit analysis

Dimitris K. Papakostas, V.C. Kosmidis, Alkis A. Hatzopoulos · 2002

Statistical multi-parameter circuit simulation is used in this work, in order to estimate the fault detection probability of various analog measurements. Since the method is a simulation-before-test approach, its computational complexity can be considered acceptable utilizing modern computer systems. Parameter deviations and multiple Monte-Carlo analysis are properly handled by a shell program, named MPCAP, which uses the SPICE simulator as a kernel. Theoretical analysis for the calculation of the probabilities is given, along with simulation results from an analog filter example.

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