TBM与CBM组合风力机可靠性分析

Jiaqi Zhang, H. Su, Li Chen, Rui Yang
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引用次数: 0

摘要

风力涡轮机装机容量正在增加。本文以基于时间的维修(TBM)和基于状态的维修(CBM)相结合为研究对象,通过建立一个物理系统的状态转移图和向量马尔可夫过程,得到偏微积分表达式,利用拉普拉斯变换计算系统的可靠性指标,并得到TBM的系统特性和CBM的一般规律以及系统的失效率方程;并将检查TBM的故障率与逐步故障率的最佳维护策略相结合。采用Matlab进行仿真。仿真结果表明,TBM与CBM结合使用可以有效提高进给系统的检测率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability analysis of wind turbine combined TBM and CBM
Installed wind turbine capacity is increasing. In this article, with time based maintenance (TBM) and the combination of condition based maintenance (CBM) as the research object, a physical system by establishing a state transition diagram and vector Markov process, and get partial calculus expression, Laplace transform is used to calculate the reliability index of the system, and the system characteristics of TBM and the general law of CBM and system failure rate equation, and will check the rate of TBM for CBM and the combination of optimal maintenance strategy of gradual failure rate. Matlab is used for simulation. The simulation results show that the combination of TBM and CBM can effectively improve the inspection rate of the progressive system.
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