New approach to the modelling of motor failure data with application to the engine overhaul decision process

New approach to the modelling of motor failure data with application to the engine overhaul decision process
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电机故障数据建模的新方法及其在发动机大修决策过程中的应用

DOI:
10.1177/1748006xjrr324
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发表时间:
2011-09
期刊:
Journal of Risk and Reliability
影响因子:
--
通讯作者:
R. Jiang
R. Jiang
中科院分区:
其他
文献类型:
--
作者:
R. Jiang

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This paper presents a method to transform data on motor failures, that is extensively used in the literature for the benchmarking of reliability models, into the form of time-to-failure (TTF) data. A normal distribution is appropriate for modelling the TTF data. The estimated mean lives are subsequently fitted to a power-law failure point process model, and the life standard deviation after a failure can be obtained using a recursive relation. These are useful for inferring the life distribution after a future failure. The resulting model is applied to optimize the lifespan and predict the number of overhauls in a given operational interval. The approach developed in this paper is not limited to the specific case for which it is derived; it can be applied to similar problems or situations.
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