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Statistical Analysis of Component Failures: A 16-Year Survey on More Than 550 Wind Turbines

[+] Author Affiliations
Lorenzo Ferrari

University of Pisa, Pisa, Italy

Guido Soldi, Enzo Dalpane

e2i Energie Speciali s.r.l., Milano, Italy

Alessandro Bianchini

University of Florence, Firenze, Italy

Paper No. GT2018-76830, pp. V009T48A015; 10 pages
  • ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition
  • Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy
  • Oslo, Norway, June 11–15, 2018
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-5118-0
  • Copyright © 2018 by ASME


A good prediction of the failure ratio of wind turbine components is pivotal in order to define a correct maintenance program and reduce the downtime periods. Even a small failure can lead to long downtime periods and high repairing costs. The installation sites, which generally have limited accessibility, and the necessity of special facilities to reach the components inside the nacelle, also play a major role in the correct management of wind turbines.

In this study, a detailed survey on the failures occurred to the wind turbines managed by the Italian operator “e2i energie speciali” (more than 550 machines) over 16 years was performed and the results were analyzed in detail. Each failure was classified by considering the damaged component and the related downtime period. The analysis allowed the determination of several useful results such as the trend of failure occurrence with machine age and the identification of components and macro-components which are more critical in terms of both number of occurrences and downtime periods. The combination of component failure occurrences and related downtime periods was also computed to estimate which component is most critical for wind turbine operation.

Copyright © 2018 by ASME



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