A new soft-fault diagnosis approach for analog circuit with parameter tolerance is proposed in this paper. The approach uses fuzzy nonlinear programming (FNLP) concept to diagnose analog circuit under test quantitatively. Node-voltage incremental equations, as constraints of FNLP equation, are built based on the sensitivity analysis. Through evaluating the parameters deviations from the solution of the FNLP equation, it can be stated that whether the actual parameters are within tolerance ranges or some components are faulty. Examples illustrate the proposed approach and show its effectiveness.
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