Modeling the effect of environmental conditions on reliability of wind turbines

被引:5
|
作者
Jiang R. [1 ]
Huang R. [1 ]
Huang C. [2 ]
机构
[1] Faculty of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha
[2] Xinjiang Gold-Wind Science & Technology Co., Ltd., Beijing
关键词
climate condition; maintenance management; regression; reliability; wind turbine;
D O I
10.1007/s12204-016-1747-7
中图分类号
学科分类号
摘要
The climate condition of a wind farm has a significant influence on the reliability of wind turbines. The climate condition varies with season in a year and hence the reliability changes in a complex way. The purpose of this paper is to model the effect of climate condition on field reliability of wind turbines. The reliability is measured by monthly-averaged mean time between failures (MTBF), and the climate conditions are described by variables of monthly-averaged temperature, relative humidity, rainfall and wind speed. Referring to the physicsof- failure models in accelerated life testing (ALT), we develop a quantitative relation between the MTBF and the climate variables. For a set of field data, the model parameters are estimated by regression, and the insignificant variables are gradually deleted based on the P-value of the regression coefficients. The resulting model is useful for maintenance workload forecasting and preventive maintenance planning, and has a potential to be used in online failure prediction. © 2016, Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:462 / 466
页数:4
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