Reliability analysis of a consecutive r-out-of-n: F system based on neural networks |
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Authors: | Aziz Habib Ragab Alsieidi Ghada Youssef |
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Affiliation: | 1. College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2. AVIC Aerodynamics Research Institute, Harbin 15001, China |
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Abstract: | In this paper, we present a generalized Markov reliability and fault-tolerant model, which includes the effects of permanent fault and intermittent fault for reliability evaluations based on neural network techniques. The reliability of a consecutive r-out-of-n: F system was obtained with a three-layer connected neural network represents a discrete time state reliability Markov model of the system. Such that we fed the neural network with the desired reliability of the system under design. Then we extracted the parameters of the system from the neural weights at the convergence of the neural network to the desired reliability. Finally, we obtain simulation results. |
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