4.7 Article

An optimal dynamic interval preventive maintenance scheduling for series systems

期刊

RELIABILITY ENGINEERING & SYSTEM SAFETY
卷 142, 期 -, 页码 19-30

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2015.03.032

关键词

Dynamic interval; Non-periodic preventive maintenance; Optimization; Machine tools technology

资金

  1. National Natural Science Foundation of China [51205347, 51322506]
  2. Zhejiang Provincial Natural Science Foundation of China [LR14E050003]
  3. Fundamental Research Funds for the Central Universities [2015FZA4004]
  4. Innovation Foundation of the State Key Laboratory of Fluid Power Transmission and Control

向作者/读者索取更多资源

This paper studies preventive maintenance (PM) with dynamic interval for a multi-component system. Instead of equal interval, the time of PM period in the proposed dynamic interval model is not a fixed constant, which varies from interval-down to interval-up. It is helpful to reduce the outage loss on frequent repair parts and avoid lack of maintenance of the equipment by controlling the equipment maintenance frequency, when compared to a periodic PM scheme. According to the definition of dynamic interval, the reliability of system is analyzed from the failure mechanisms of its components and the different effects of non-periodic PM actions on the reliability of the components. Following the proposed model of reliability, a novel framework for solving the non-periodical PM schedule with dynamic interval based on the multi-objective genetic algorithm is proposed. The framework denotes the strategies include updating strategy, deleting strategy, inserting strategy and moving strategy, which is set to correct the invalid population individuals of the algorithm. The values of the dynamic interval and the selections of PM action for the components on every PM stage are determined by achieving a certain level of system availability with the minimum total PM-related cost. Finally, a typical rotary table system of NC machine tool is used as an example to describe the proposed method. (C) 2015 Elsevier Ltd. All rights reserved.

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