Abstract. The paper presents a test stimulus generation and fault simulation methodology for the detection of catastrophic faults in analog circuits. The test methodology chosen for evaluation is RMS AC supply current monitoring. Tests are generated and evaluated taking account of the potential fault masking effects of process spread on the faulty circuit responses. A new test effectiveness metric of probability of detection is defined and the application of the technique to an analog multiplier circuit is presented. The fault coverage figures are therefore more meaningful than those obtained with a fixed threshold.

The paper presents a test pattern generation and fault simulation methodology for the detection of catastrophic faults in analogue circuits. The test methodology chosen for evaluation is RMS AC supply current monitoring. Tests are generated and evaluated taking account of the potential fault masking effects of process spread on the faulty circuit responses. A new test effectiveness metric of probability of detection is defined and the application of the technique to an analogue multiplier circuit is presented. The fault coverage figures are therefore more meaningful than those obtained with a fuced threshold, although they appear lower.

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Abstract:Monte Carlo simulation is a commonly used technique for circuit analysis, but is computationally expensive. The bootstrap method can save simulation time and retain the desired accuracy.

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