A shock model for multi-component system considering the cumulative effect of severely damaged components
A shock model for multi-component system considering the cumulative effect of severely damaged components
复制标题
考虑严重损坏部件累积效应的多部件系统冲击模型
DOI:
10.1016/j.cie.2019.106027
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发表时间:
2019-11
影响因子:
7.9
通讯作者:
Wang Xiaoyue
中科院分区:
文献类型:
--
作者:
Zhao Xian;Sun Leping;Wang Mengyuan;Wang Xiaoyue
In this paper, a new shock model for multi-component system combining the cumulative effect of severely damaged components with individual component failure is proposed. It is motivated by the battery pack in an electric vehicle, where some severely damaged cells usually have crucial impacts on the performance of the whole battery pack. In the new model, we introduce a definition of target component to represent such severely damaged components. The proposed system works in a shock environment and has two failure criteria. First, the system fails if at least one component fails. Besides, the system also breaks down when the total number of damaging shocks that some target components have suffered reaches a predetermined critical value. The overlapping finite Markov chain imbedding approach is proposed for the first time to derive system reliability and expected shock length. An integrated maintenance policy is designed for a special case where the time intervals between any two consecutive shocks follow a continuous phase-type distribution, and a corresponding optimization model is established to obtain the optimal inspection time. Several numerical examples for battery packs in electric vehicles are calculated to illustrate the proposed shock model and maintenance policy. This study is of reference value and application significance for similar multi-component systems.
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影响因子:
8.1
作者:
Zhao Xian;Guo Xiaoxin;Wang Xiaoyue
通讯作者:
Wang Xiaoyue
影响因子:
8.1
作者:
Zhao Xian;Wang Siqi;Wang Xiaoyue;Fan Yu
通讯作者:
Fan Yu
影响因子:
0.8
作者:
J. Fu;G. Shmueli;Y. M. Chang
通讯作者:
J. Fu;G. Shmueli;Y. M. Chang
DOI:
10.1080/23302674.2016.1242819
发表时间:
2018-04
期刊:
International Journal of Systems Science: Operations & Logistics
影响因子:
--
作者:
Yuqiuge Hao;P. Helo;A. Shamsuzzoha
通讯作者:
Yuqiuge Hao;P. Helo;A. Shamsuzzoha
影响因子:
5.9
作者:
Zhao Xian;Wang Xiaoyue;Coit David W;Chen Yuan
通讯作者:
Chen Yuan