Abstract
In this paper, a reliability evaluation method based on dynamic fault diagnosis results is proposed. The feasibility of the method is verified by taking the seabed mud lifting system as an example. The method considers the influence of the degradation of sensors and system equipment on the diagnostic results. The problem of overdiagnosis in static diagnosis network is avoided. Fault monitoring stage to locate the fault of the mud lifting system, reliability assessment stage to use dynamic Bayesian reverse diagnosis and forward reasoning to calculate the reliability of the whole system. The reliability of the system with and without sensor degradation is analyzed. The effects of common cause failure, multi-state degradation, redundant design and sensor performance degradation on system reliability are analyzed. The influence of the failure of different comphonents on the reliability of the system is studied. The sensitivity of the system is analyzed and the importance sequence of different components in the system is given.
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