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On Models for Diagnosable Systems and Probabilistic Fault Diagnosis.

机译:可诊断系统模型与概率故障诊断。

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This paper is concerned with automatic fault diagnosis for digital systems with multiple faults. Three problems are treated: (1) Probabilistic fault diagnosis is presented using the graph-theoretic model of Preparata et al. The necessary and sufficient conditions to correctly diagnose any fault set whose probability of occurrence is greater than t have been developed. Some simple sufficient conditions are also discussed. (2) A general model that contains as special cases both the graph-theoretic and the Russell-Kime models is developed. Conditions for T-fault diagnosability are given, thus settling some open problems introduced by Russell and Kime. (3) Finally, sequential T-fault diagnosability is considered. Existence of a class of systems requiring as little as n + T - 1 tests is shown. This improves significantly upon the previously best known class of systems that required n + 2T - 2 tests for sequential T-fault diagnosability. (Author)

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