Optimal maintenance decision for wind turbines based on imperfect maintenance model

被引：0
|
作者：
Wang J. [1 ]
Zhang X. [1 ,2 ]
Zeng J. [1 ,3 ]
机构：
[1] Division of Industrial and System Engineering, Taiyuan University of Science & Technology, Taiyuan
[2] Economics & Management School, Taiyuan University of Science & Technology, Taiyuan
[3] School of Computer Science and Control Engineering, North University of China, Taiyuan
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 05期
关键词：
Failure rate accelerated factor; Genetic algorithms; Imperfect preventive maintenance; Maintenance decision; Virtual age factor; Wind turbines;
D O I：
10.13196/j.cims.2019.05.013
中图分类号：
学科分类号：
摘要：
To make the maintenance decision based on reliability consistent with the actual operational and maintenance process, and to improve the comprehensive economic benefit of wind farm, the failure rate function update model of wind turbine was provided based on the existing imperfect maintenance models considering the principle of generalized renewal process. Furthermore, the multi-objective periodic dynamic imperfect preventive maintenance model of wind turbine was developed on the premise of considering set-up cost and ensuring the basic availability of wind farm. The optimal solution was achieved with genetic algorithm, which compared with two traditional maintenance strategies that were perfect preventive maintenance strategy and maintenance strategy without the influence of number of minimal maintenance on set-up cost. The sensitivity analysis was made, and the economic benefit, effectiveness and feasibility of the proposed model were validated. © 2019, Editorial Department of CIMS. All right reserved.
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页码：1151 / 1160
页数：9
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