Research on wind turbine system reliability modeling and preventive maintenance policy considering performance degradation and shock

Author:

Li Haiyan,Li Yaping,Chen Zhen

Abstract

Abstract With the development of the wind turbine industry, the operation and maintenance of wind turbines has gradually become one of the main concerns of the wind turbine industry. In view of the wind turbine system’s vulnerability to external environment, this paper considers the performance degradation and external shocks of the unit to establish a reliability model and develop preventive maintenance policy. First, Markov chain is used for degradation modeling, and unit is divided into different health states; Homogeneous Poisson process is used for shock modeling, assuming that the shock is cumulative. The impact of shocks on unit degradation was described as the unit in different states had different state transition matrices, and then establish the state reliability. According to the state probability of the unit, formulate the corresponding preventive maintenance policy. Finally, a generator in a wind turbine system is taken as an example, the influence of external shocks on unit performance degradation is explained. Meanwhile, the preventive maintenance strategy proposed in this paper is compared with the maintenance policy with fixed maintenance threshold, and the advantages of the reliability model and maintenance strategy proposed in this paper are illustrated.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference26 articles.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Maintenance Strategy and Failure Cost Model for Large Equipment;2022 International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS);2022-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3