An approximate-reasoning model for diagnosis of continuous dynamic systems is introduced based on a previously developed fuzzy extension of the fault tree analysis and synthesis approach. The concept of dynamic fuzzy fault tree naturally emerges from the act of matching the fuzzified fault tree with the dynamic symptoms. Management of the incipient fault dynamics via fuzzy information processing is illustrated on a simple example.
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