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Probabilistic Prognostics and Health Management of Energy Systems pp 33–47Cite as

Prognostics and Health Management of Wind Turbines—Current Status and Future Opportunities

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Abstract

The global wind industry has seen tremendous growth during the past two decades. However, the industry is challenged by premature component failures, which lead to increased turbine downtime and subsequently, cost of energy for wind power. To mitigate the impacts from these failures, the wind industry has been exploring various areas for improvements ranging from product design, new materials or lubricants, to operation and maintenance (O&M) practices. Condition-based maintenance or prognostics and health management (PHM) has been explored as one enabling technology for improving O&M practices. This chapter provides a brief overview of wind turbine PHM with a focus on operational data mining and condition monitoring of drivetrains. Some future research and development opportunities in wind turbine PHM are also briefly discussed.

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Acknowledgements

This work was supported by the U.S. Department of Energy under Contract No. DE-AC36-08GO28308 with the National Renewable Energy Laboratory. Funding for the work was provided by the DOE Office of Energy Efficiency and Renewable Energy, Wind and Water Power Technologies Office. The author would also like to acknowledge the NREL condition monitoring and O&M research partners for their support.

The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or to allow others to do so, for U.S. Government purposes.

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Authors and Affiliations

  1. National Renewable Energy Laboratory, Golden, CO, USA

    Shuangwen Sheng

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  1. Shuangwen Sheng
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Correspondence to Shuangwen Sheng .

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Editors and Affiliations

  1. Department of Mechanical Engineering, Texas Tech University , Lubbock, Texas, USA

    Stephen Ekwaro-Osire

  2. Faculdade de Engenharia de Ilha Solteira, Universidade Estadual Paulista , Centro, Ilha Solteira, São Paulo, Brazil

    Aparecido Carlos Gonçalves

  3. School of Engineering and Computer Science and Mathematics, West Texas A&M University, Canyon, Texas, USA

    Fisseha M. Alemayehu

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Sheng, S. (2017). Prognostics and Health Management of Wind Turbines—Current Status and Future Opportunities. In: Ekwaro-Osire, S., Gonçalves, A., Alemayehu, F. (eds) Probabilistic Prognostics and Health Management of Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-55852-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-55852-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55851-6

  • Online ISBN: 978-3-319-55852-3

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