NDLI: Prognosis Informed Design Framework for Operation and Maintenance of Wind Turbines

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Tamilselvan, Prasanna Wang, Yibin Wang, Pingfeng
Copyright Year	2012
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.
Sponsorship	Design Engineering Division Computers and Information in Engineering Division
Starting Page	291
Ending Page	298
Page Count	8
File Format	PDF
ISBN	9780791845028
DOI	10.1115/DETC2012-70792
Volume Number	Volume 3: 38th Design Automation Conference, Parts A and B
Conference Proceedings	ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Language	English
Publisher Date	2012-08-12
Publisher Place	Chicago, Illinois, USA
Access Restriction	Subscribed
Subject Keyword	Design System failures Uncertainty Decision making Wind farms Signal processing Maintenance Wind turbines Damage Carbon Failure Turbines
Content Type	Text
Resource Type	Article

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