Condition based maintenance for offshore wind turbines: the effects of false alarms from condition monitoring systems

Allan May, David McMillan

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

3 Citations (Scopus)

Abstract

As wind turbines increase in size and move offshore, operations and maintenance procedures need to be optimised to increase reliability, safety and maximise cost effectiveness. The practice of installing condition monitoring systems to allow the real time monitoring of assets as a means to achieve these goals is becoming more wide-spread. This allows operators to adopt a condition based maintenance approach that theoretically allows reduced costs over both preventive and corrective maintenance strategies. There have been several studies into the possible benefits and cost advantages of using a condition based maintenance strategy. However, few have examined the implications of system detection rates or false alarms. Many studies have assumed that condition monitoring systems will detect all the faults they are designed to observe. This will not be the case. Investigating false alarms or ignoring false positives in a remote offshore environment will incur costs that may alter the cost benefit of condition monitoring systems. Probabilistic models are used in the paper to determine the possible benefits of using condition monitoring systems and the effect that system detection rates and false positives have on the reliability of the system. The methods used include Markov chains and time-series modelling.

LanguageEnglish
Title of host publicationSafety, Reliability and Risk Analysis: Beyond the Horizon
Subtitle of host publicationProceedings of the European Safety and Reliability Conference, ESREL 2013
EditorsR. D. J. M. Steenbergen
Pages783-789
Number of pages7
Publication statusPublished - 18 Sep 2013
EventEuropean Safety and Reliability Conference, ESREL 2013 - Amsterdam, United Kingdom
Duration: 29 Sep 20132 Oct 2013

Conference

ConferenceEuropean Safety and Reliability Conference, ESREL 2013
CountryUnited Kingdom
CityAmsterdam
Period29/09/132/10/13

Fingerprint

Offshore wind turbines
Condition monitoring
Costs
Cost effectiveness
Wind turbines
Markov processes
Time series
Monitoring

Cite this

May, A., & McMillan, D. (2013). Condition based maintenance for offshore wind turbines: the effects of false alarms from condition monitoring systems. In R. D. J. M. Steenbergen (Ed.), Safety, Reliability and Risk Analysis: Beyond the Horizon: Proceedings of the European Safety and Reliability Conference, ESREL 2013 (pp. 783-789)
May, Allan ; McMillan, David. / Condition based maintenance for offshore wind turbines : the effects of false alarms from condition monitoring systems. Safety, Reliability and Risk Analysis: Beyond the Horizon: Proceedings of the European Safety and Reliability Conference, ESREL 2013. editor / R. D. J. M. Steenbergen. 2013. pp. 783-789
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May, A & McMillan, D 2013, Condition based maintenance for offshore wind turbines: the effects of false alarms from condition monitoring systems. in RDJM Steenbergen (ed.), Safety, Reliability and Risk Analysis: Beyond the Horizon: Proceedings of the European Safety and Reliability Conference, ESREL 2013. pp. 783-789, European Safety and Reliability Conference, ESREL 2013, Amsterdam, United Kingdom, 29/09/13.

Condition based maintenance for offshore wind turbines : the effects of false alarms from condition monitoring systems. / May, Allan; McMillan, David.

Safety, Reliability and Risk Analysis: Beyond the Horizon: Proceedings of the European Safety and Reliability Conference, ESREL 2013. ed. / R. D. J. M. Steenbergen. 2013. p. 783-789.

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

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May A, McMillan D. Condition based maintenance for offshore wind turbines: the effects of false alarms from condition monitoring systems. In Steenbergen RDJM, editor, Safety, Reliability and Risk Analysis: Beyond the Horizon: Proceedings of the European Safety and Reliability Conference, ESREL 2013. 2013. p. 783-789