Optimization of wind turbines operation and maintenance using failure prognosis

Prasanna Tamilselvan, Yibin Wang, Pingfeng Wang

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

Abstract

Advances in high performance sensing and signal processing technology enable the development of failure prognosis tools for wind turbines to detect, diagnose, and predict the system-wide effects of failure events. Although prognostics can provide valuable information for proactive actions in preventing system failures, the benefits have not been fully utilized for the operation and maintenance decision making of wind turbines. This paper presents a generic failure prognosis informed decision making tool for wind farm operation and maintenance while considering the predictive failure information of individual turbine and its uncertainty. In the presented approach, the probabilistic damage growth model is used to characterize individual wind turbine performance degradation and failure prognostics, whereas the economic loss measured by monetary values and environmental performance measured by unified carbon credits are considered in the decision making process. Based on the customized wind farm information inputs, the developed decision making methodology can be used to identify optimum and robust strategies for wind farm operation and maintenance in order to maximize the economic and environmental benefits concurrently. The efficacy of proposed prognosis informed maintenance strategy is compared with the condition based maintenance strategy and demonstrated with the case study.

Original languageEnglish (US)
Title of host publicationPHM 2012 - 2012 IEEE Int. Conf. on Prognostics and Health Management:Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHM Technology and Application,Conference Program
DOIs
StatePublished - Nov 6 2012
Externally publishedYes
Event2012 IEEE International Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHM Technology and Application, PHM 2012 - Denver, CO, United States
Duration: Jun 18 2012Jun 21 2012

Publication series

NamePHM 2012 - 2012 IEEE Int. Conf.on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHM Technology and Application, Conference Program

Other

Other2012 IEEE International Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHM Technology and Application, PHM 2012
CountryUnited States
CityDenver, CO
Period6/18/126/21/12

Keywords

  • Operation and Maintenance
  • Prognostics
  • Wind Turbine
  • optimization

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Biomedical Engineering
  • Mathematical Physics

Fingerprint Dive into the research topics of 'Optimization of wind turbines operation and maintenance using failure prognosis'. Together they form a unique fingerprint.

  • Cite this

    Tamilselvan, P., Wang, Y., & Wang, P. (2012). Optimization of wind turbines operation and maintenance using failure prognosis. In PHM 2012 - 2012 IEEE Int. Conf. on Prognostics and Health Management:Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHM Technology and Application,Conference Program [6299538] (PHM 2012 - 2012 IEEE Int. Conf.on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHM Technology and Application, Conference Program). https://doi.org/10.1109/ICPHM.2012.6299538