Issues with data quality for wind turbine condition monitoring and reliability analyses

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dc.contributor.authorLeahy, Kevin
dc.contributor.authorGallagher, Colm V.
dc.contributor.authorO'Donovan, Peter
dc.contributor.authorO'Sullivan, Dominic T. J.
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2019-05-15T05:01:51Z
dc.date.available2019-05-15T05:01:51Z
dc.date.issued2019-01-09
dc.description.abstractIn order to remain competitive, wind turbines must be reliable machines with efficient and effective maintenance strategies. However, thus far, wind turbine reliability information has been closely guarded by the original equipment manufacturers (OEMs), and turbine reliability studies often rely on data that are not always in a usable or consistent format. In addition, issues with turbine maintenance logs and alarm system data can make it hard to identify historical periods of faulty operation. This means that building new and effective data-driven condition monitoring techniques and methods can be challenging, especially those that rely on supervisory control and data acquisition (SCADA) system data. Such data are rarely standardised, resulting in challenges for researchers in contextualising these data. This work aims to summarise some of the issues seen in previous studies, highlighting the common problems seen by researchers working in the areas of condition monitoring and reliability analysis. Standards and policy initiatives that aim to alleviate some of these problems are given, and a summary of their recommendations is presented. The main finding from this work is that industry would benefit hugely from unified standards for turbine taxonomies, alarm codes, SCADA operational data and maintenance and fault reporting.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid201en
dc.identifier.citationLeahy, K., Gallagher, C., O’Donovan, P. and O’Sullivan, D.T., 2019. Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses. Energies, 12(2), 201 (22pp) DOI: 10.3390/en12020201en
dc.identifier.doi10.3390/en12020201en
dc.identifier.endpage22en
dc.identifier.issn1996-1073
dc.identifier.issued2en
dc.identifier.journaltitleEnergiesen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/7903
dc.identifier.volume12en
dc.language.isoenen
dc.publisherMDPIen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2302/IE/Marine Renewable Energy Ireland (MaREI) - The SFI Centre for Marine Renewable Energy Research/en
dc.relation.urihttps://www.mdpi.com/1996-1073/12/2/201
dc.rights© 2019 The Authors.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectWind turbinesen
dc.subjectSCADA dataen
dc.subjectCondition monitoringen
dc.subjectData qualityen
dc.subjectReliabilityen
dc.titleIssues with data quality for wind turbine condition monitoring and reliability analysesen
dc.typeArticle (peer-reviewed)en
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