Comparison of advanced fault detection methods for rolling bearings fault in wind turbines

Tomasz Barszcz, Jacek Urbanek, Tadeusz Uhl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wind turbines are nowadays one of the most promising energy sources. Every year, the amount of energy produced from the wind grows steadily. Investors demand turbines manufacturers to produce bigger, more efficient and robust units. These requirements resulted in fast development of condition monitoring methods. However, significant sizes and varying operational conditions can make diagnostics of the wind turbines very challenging. The paper shows the case study of a wind turbine that had suffered a serious rolling element bearing (REB) fault. The authors compare several methods for early detection of symptoms of the failure. The paper compares standard methods based on spectral analysis and a number of novel methods based on narrowband envelope analysis, kurtosis and cyclostationarity approach. Very important problem of proper configuration of the methods is addressed as well. It is well known that every method requires setting of several parameters. In the industrial practice configuration should be as standard and simple as possible. The paper discusses configuration parameters of investigated methods and their sensitivity to configuration uncertainties.

Original languageEnglish (US)
Title of host publication7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010, CM 2010/MFPT 2010
PublisherBritish Institute of Non-Destructive Testing
Pages1264-1275
Number of pages12
ISBN (Print)9781618390134
StatePublished - Jan 1 2010
Externally publishedYes
Event7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010, CM 2010/MFPT 2010 - Stratford-upon-Avon, United Kingdom
Duration: Jun 22 2010Jun 24 2010

Publication series

Name7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010, CM 2010/MFPT 2010
Volume2

Other

Other7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010, CM 2010/MFPT 2010
CountryUnited Kingdom
CityStratford-upon-Avon
Period6/22/106/24/10

Keywords

  • Condition monitoring
  • Fault detection
  • Rolling bearings
  • Wind turbine

ASJC Scopus subject areas

  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

Fingerprint Dive into the research topics of 'Comparison of advanced fault detection methods for rolling bearings fault in wind turbines'. Together they form a unique fingerprint.

  • Cite this

    Barszcz, T., Urbanek, J., & Uhl, T. (2010). Comparison of advanced fault detection methods for rolling bearings fault in wind turbines. In 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010, CM 2010/MFPT 2010 (pp. 1264-1275). (7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010, CM 2010/MFPT 2010; Vol. 2). British Institute of Non-Destructive Testing.