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Modeling the effect of environmental conditions on reliability of wind turbines

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Abstract

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.

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Authors and Affiliations

  1. Faculty of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, 410114, China

    Renyan Jiang  (蒋仁言) & Ruizhi Huang  (黄睿智)

  2. Xinjiang Gold-Wind Science & Technology Co., Ltd., Beijing, 100176, China

    Chaoqun Huang  (黄超群)

Authors
  1. Renyan Jiang  (蒋仁言)
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  2. Ruizhi Huang  (黄睿智)
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  3. Chaoqun Huang  (黄超群)
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Corresponding author

Correspondence to Renyan Jiang  (蒋仁言).

Additional information

Foundation item: the National Natural Science Foundation of China (No. 71371035)

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Jiang, R., Huang, R. & Huang, C. Modeling the effect of environmental conditions on reliability of wind turbines. J. Shanghai Jiaotong Univ. (Sci.) 21, 462–466 (2016). https://doi.org/10.1007/s12204-016-1747-7

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  • DOI: https://doi.org/10.1007/s12204-016-1747-7

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