Sequential fault diagnosis in system maintenance

The results of the study of the impact of symptomatic information on sequential fault diagnosis are presented. Typical test sequencing algorithms based on the concepts from information theory and heuristic AND/OR graph search methods are considered. The estimation of optimal weights of statistical data of faulty elements associated with given symptoms is discussed. Empirical results are presented for the case in which the symptomatic information is processed separately and in advance of the global failure rate data.<
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