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《Journal of Beijing University of Aeronautics and Astronautics》 2004-12
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Study on iterative availability algorithm of Markov renewal equation

Wang Shaoping Tao Jianfeng Cui Mingshan Jiao Zongxia (School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China)  
Dynamic structure variance of cool spare system requires the dynamic availability analysis with transient solution. The traditional calculation method of Markov renewal equation based on Laplace transform and inverse Laplace transform makes many difficulties to complex system. The iterative availability algorithm based on Valterra series is presented in time domain to cool spare system with two units, and its uniqueness and convergence are proved. Comparing the iterative algorithm with the algorithm based on Laplace transform, it indicates that the iterative error is small and acceptable. Application results show that the iterative availability algorithm can easy realize the resolution for Markov renewal equation when the life distribution and repair time distribution are bounded function.
【Fund】: 国家自然科学基金资助项目 (60 3 710 49) ;; 北京市自然基金资助项目 (4 0 12 0 0 9)
【CateGory Index】: TB657
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