A Fuzzy-FMEA risk assessment approach for offshore wind turbines

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dc.contributor.authorDinmohammadi, Fateme
dc.contributor.authorShafiee, Mahmood
dc.date.accessioned2020-03-10T19:01:55Z
dc.date.available2020-03-10T19:01:55Z
dc.date.issued2013-07-23
dc.description.abstractFailure Mode and Effects Analysis (FMEA) has been extensively used by wind turbine assembly manufacturers for risk and reliability analysis. However, several limitations are associated with its implementation in offshore wind farms: (i) the failure data gathered from SCADA system is often missing or unreliable, and hence, the assessment information of the three risk factors (i.e., severity, occurrence, and fault detection) are mainly based on experts' knowledge; (ii) it is rather difficult for experts to precisely evaluate the risk factors; (iii) the relative importance among the risk factors is not taken into consideration, and hence, the results may not necessarily represent the true risk priorities; and etc. To overcome these drawbacks and improve the effectiveness of the traditional FMEA, we develop a fuzzy-FMEA approach for risk and failure mode analysis in offshore wind turbine systems. The information obtained from the experts is expressed using fuzzy linguistics terms, and a grey theory analysis is proposed to incorporate the relative importance of the risk factors into the determination of risk priority of failure modes. The proposed approach is applied to an offshore wind turbine system with sixteen mechanical, electrical and auxiliary assemblies, and the results are compared with the traditional FMEA.en_UK
dc.identifier.citationDinmohammadi F, Shafiee M. (2013) A Fuzzy-FMEA risk assessment approach for offshore wind turbines. International Journal of Prognostics and Health Management, Volume 4, Issue 3, Special Issue on Wind Turbine PHM, December 2013, pp. 59-68en_UK
dc.identifier.issn2153-2648
dc.identifier.urihttps://doi.org/10.36001/ijphm.2013.v4i3.2143
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/15264
dc.language.isoenen_UK
dc.publisherPrognostics and Health Management Societyen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA Fuzzy-FMEA risk assessment approach for offshore wind turbinesen_UK
dc.typeArticleen_UK

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