基于逆高斯退化过程的面向任务系统CBM优化模型

doi:10.12305/j.issn.1001-506X.2022.01.42

Abstract

Abstract:

In the current condition-based maintenance (CBM) optimization models for monotonic degradation system, only the single influence of imperfect maintenance is considered, and the availability constraint is not incorporated at the same time. In order to solve these problems, a CBM optimization model for monotonic degradation system considering the dual influence of imperfect maintenance and availability constraint is proposed. Firstly, based on the inverse Gaussian process with random drift coefficient, the system degradation model is established and the relevant probability distributions are obtained. Secondly, the system evolution process in the context of the mission is described, the residual damage model after imperfect maintenance is established, and the update formula of random drift coefficient is proposed. Thirdly, combined with availability constraint, the probability formulas for system maintenance or replacement in three situations are given, and the CBM optimization model is constructed. Finally, the comparison and the sensitivity analysis of the model are conducted through a numerical example, the experiment results verify the feasibility and application value of the proposed model.

Key words: imperfect maintenance, availability constraint, monotonic degradation system, inverse Gaussian process, condition-based maintenance (CBM) optimization

CLC Number:

TB114.3

Yunxiang CHEN, Jingfeng LI, Huachun XIANG, Hengnian LI. A CBM optimization model for mission-oriented system based on inverse Gaussian degradation process[J]. Systems Engineering and Electronics, 2022, 44(1): 338-346.

Figures/Tables 6

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A CBM optimization model for mission-oriented system based on inverse Gaussian degradation process

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