Prognosis informed stochastic decision making framework for operation and maintenance of wind turbines

dc.contributor.authorTamilselvan, Prasanna
dc.contributor.authorWang, Yibin
dc.contributor.authorWang, Pingfeng
dc.contributor.authorTwomey, Janet M.
dc.date.accessioned2013-09-26T19:38:34Z
dc.date.available2013-09-26T19:38:34Z
dc.date.issued2013
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractAdvances 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.en_US
dc.identifier.citationTamilselvan, Prasanna; Wang, Yibin; Wang, Pingfeng; Twomey, Janet M.. 2013. Prognosis informed stochastic decision making framework for operation and maintenance of wind turbines. ASME/ISCIE 2012 International Symposium on Flexible Automation St. Louis, Missouri, USA, June 18–20, 2012, ISFA2012-7168, pp. 389-396en_US
dc.identifier.isbn978-0-7918-4511-0
dc.identifier.otherWOS:000323630300060
dc.identifier.urihttp://dx.doi.org/10.1115/ISFA2012-7168
dc.identifier.urihttp://hdl.handle.net/10057/6511
dc.language.isoen_USen_US
dc.publisherASME/ISCIE 2012 International Symposium on Flexible Automationen_US
dc.subjectwind farm O&Men_US
dc.subjectpredictive maintenanceen_US
dc.subjectprognosticsen_US
dc.subjecteconomic and environmental impacten_US
dc.titlePrognosis informed stochastic decision making framework for operation and maintenance of wind turbinesen_US
dc.typeArticleen_US
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.6 KB
Format:
Item-specific license agreed upon to submission
Description: