Optimal method for selective maintenance of equipment subject to competing failure

被引：0
|
作者：
Lu C. [1 ]
Xu T. [1 ]
Li Q. [2 ]
Zhu G. [3 ]
机构：
[1] Coastal Defense College, Naval Aeronautical and Astronautical University, Yantai
[2] Unit 91206 of PLA, Qingdao
[3] Rocket Sergeant School, Qingzhou
来源：
Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology | 2019年 / 27卷 / 02期
关键词：
Fuzzy Markov process; Fuzzy universal generating function; Memetic algorithm; Random competing failure; Selective maintenance;
D O I：
10.13695/j.cnki.12-1222/o3.2019.02.020
中图分类号：
学科分类号：
摘要：
In order to achieve the goal of accurate support for cluster equipment and improve the probability of mission success, an optimization method of equipment selective maintenance for stochastic uncertain tasks under competing failure is proposed. For the case that the interval of a mission is a random variable andthe fuzzy characteristics (such as equipment, mission and stochastic competition failure) are considered, a mission success probability evaluation model for the fuzzy multi-state system under the condition of competing failure is established based on the fuzzy Markov process and the fuzzy universal generating function. Then, taking it as the objective function, a selective maintenance decision model for group equipment is established under the constraint of maintenance spare-parts resources. The Memetic algorithm is applied to solve the model, and the optimal maintenance scheme is obtained. Finally, by taking a strapdown inertial navigation system as an example, the probability of mission success under the selective maintenance model is calculated, which reaches 0.6018. The analysis and practical examples verify the validity and rationality of the proposed model. © 2019, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
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页码：272 / 280
页数：8
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