Utilization of Information Theory in Optimizing Fault Isolation Time.
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The paper discusses the design of an optimal fault isolation procedure. A complete tabulation approach is explained for the problem of the determination of the optimal symptom selection sequence. A decision parameter, formulated using information theory, is proposed to ease the calculations involved in the determination of the symptom observation sequence. Included in the discussion of the information theory approach are considerations of symptom observation sequence, replacement policy in fault isolation, and multiple symptom indicators. The problem formulation includes the failuresymptom matrix, and all calculations are derived from the matrix and symptom obtainment times. An example is chosen to emphasize the effects of improper symptom selection. A method for the determination of the expected time to fault isolate a system is given for the desired symptom observation sequence. Author
- Manufacturing and Industrial Engineering and Control of Production Systems