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This paper presents a novel approach to detect and diagnose faults in the dynamic part of a class of stochastic systems the Such a group of systems are subjected to a set of crisp inputs but the outputs considered are the measurable probability density functions (PDFs) of the system output, rather than the system output alone. A new approximation model is developed for the output probability density...
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