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

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dc.contributor.author Leahy, Kevin
dc.contributor.author Gallagher, Colm V.
dc.contributor.author O'Donovan, Peter
dc.contributor.author O'Sullivan, Dominic T. J.
dc.date.accessioned 2019-05-15T05:01:51Z
dc.date.available 2019-05-15T05:01:51Z
dc.date.issued 2019-01-09
dc.identifier.citation Leahy, 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/en12020201 en
dc.identifier.volume 12 en
dc.identifier.issued 2 en
dc.identifier.startpage 1 en
dc.identifier.endpage 22 en
dc.identifier.issn 1996-1073
dc.identifier.uri http://hdl.handle.net/10468/7903
dc.identifier.doi 10.3390/en12020201 en
dc.description.abstract In 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.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher MDPI en
dc.relation.uri https://www.mdpi.com/1996-1073/12/2/201
dc.rights © 2019 The Authors. en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Wind turbines en
dc.subject SCADA data en
dc.subject Condition monitoring en
dc.subject Data quality en
dc.subject Reliability en
dc.title Issues with data quality for wind turbine condition monitoring and reliability analyses en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Kevin Leahy, Department of Civil and Environmental Engineering, University College Cork, Cork, Ireland. +353-21-490-3000 Email: kevin.leahy@umail.ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Energies en
dc.internal.IRISemailaddress kevin.leahy@umail.ucc.ie en
dc.internal.IRISemailaddress dominic.osullivan@ucc.ie en
dc.identifier.articleid 201 en
dc.relation.project info: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


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