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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Hazard Model Reliability Analysis Based on a Wind Generator Condition Monitoring System
Author(s)
Khaled Abdusamad, David Wenzhong Gao, and Xiaodong Liang and Jun Zhang
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DOI:10.17265/1934-8975/2014.07.019
Affiliation(s)
ABSTRACT
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.
KEYWORDS
Hazard model, failure rate, survival rate, mean time to failure, weibull distribution, generator age, generator temperature
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