Hazard Model Reliability Analysis Based on a Wind Generator Condition Monitoring System
Hazard Model Reliability Analysis Based on a Wind Generator Condition Monitoring System作者机构：Department of Mechanical and Materials Engineering The University of Denver Denver CO 80208 USA Department of Electrical and Computer Engineering The University of Denver Denver CO 80208 USA School of Engineering and Computer Science Washington State University Vancouver Vancouver WA 98686 USA
出 版 物：《Journal of Energy and Power Engineering》 (能源与动力工程（美国大卫英文）)
年 卷 期：2014年第8卷第7期
页 面：1309-1322页
学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0838[工学-公安技术] 0714[理学-统计学（可授理学、经济学学位）] 070103[理学-概率论与数理统计] 0701[理学-数学]
主 题：Hazard model failure rate survival rate mean time to failure weibull distribution generator age generator temperature.
摘 要：This paper presents an application of the hazard model reliability analysis on wind generators, based on a condition monitoring system. The hazard model techniques are most widely used in the statistical analysis of the electric machine＇s lifetime data. The model can be utilized to perform appropriate maintenance decision-making based on the evaluation of the mean time to failures that occur on the wind generators due to high temperatures. The knowledge of the condition monitoring system is used to estimate the hazard failure, and survival rates, which allows the preventive maintenance approach to be performed accurately. A case study is presented to demonstrate the adequacy of the proposed method based on the condition monitoring data for two wind turbines. Such data are representative in the generator temperatures with respect to the expended operating hours of the selected wind turbines. In this context, the influence of the generator temperatures on the lifetime of the generators can be determined. The results of the study can be used to develop the predetermined maintenance program, which significantly reduces the maintenance and operation costs.
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