Estimating MTTF of a Component Based on Spare Parts Consumption Data
Estimating MTTF of a Component Based on Spare Parts Consumption Data
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DOI：
10.1007/978-3-030-48021-9_59
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
R. Jiang
中科院分区：
文献类型：
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作者：
R. Jiang
本文考虑了可修系统的OEM希望估计系统中给定部件的平均无故障时间（MTTF）和部件的寿命分布，从而预测部件的备件需求，优化部件的维修策略。OEM没有组件的准确现场故障时间数据，但有系统的安装基础信息和组件的备件消耗信息。由于缺乏故障时间数据，基于故障时间的方法不再适用。为了克服这一困难，提出了一种新的方法来估计MTTF和寿命分布的基础上，其备件消耗数据的组件。该方法是基于威布尔更新过程的假设和渐近更新函数的修改。它提供了一个更准确的估计MTTF比从指数分布的假设。一个数值例子来说明所提出的方法的适当性和实用性。
In this paper we consider the situation where the OEM of a repairable system wants to estimate the mean time to failure (MTTF) of a given component of the system and the component’s lifetime distribution so as to forecast the demand of spare parts and to optimize the maintenance policy of the component. The OEM does not have exact field failure time data of the component but has the installed base information of the systems and the spare parts consumption information of the component. Due to lack of failure time data, the failure-time-based approach is no longer applicable. To overcome this difficulty, a novel approach is proposed to estimate MTTF and lifetime distribution of the component based on its spare parts consumption data. The proposed approach is based on the assumption of Weibull renewal process and a modification of the asymptotic renewal function. It provides a much more accurate estimate of MTTF than the one obtained from the exponential distribution assumption. A numerical example is included to illustrate the appropriateness and usefulness of the proposed approach.