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- W2069288265 abstract "This paper proposes a real-time predictive condition-based replacement and spare ordering policy for dynamic systems subject to hidden degradation process. Firstly, the system failure probability is predicted recursively based on identification of the hidden process. Then the expected total cost (including both replacement cost and spare ordering cost) per unit time is formulated using the predicted failure probability. At last, the optimal decisions can be made through minimizing the expected total cost rate. This procedure enables the dynamic updating of the replacement and spare ordering decisions according to the real condition of dynamic systems. Simulations of a three-vessel water tank system verify the effectiveness of the proposed policies." @default.
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- W2069288265 date "2009-01-01" @default.
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- W2069288265 title "Predictive Condition-based Replacement and Spare Ordering Policy for Dynamic Systems Suffering Hidden Degradatio" @default.
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- W2069288265 doi "https://doi.org/10.3182/20090630-4-es-2003.00265" @default.
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