Sensor fusion and state estimation of IoT enabled wind energy conversion system

Show simple item record Noor-A-Rahim, Md. Khyam, M. O. Li, Xinde Pesch, Dirk 2019-11-19T12:08:33Z 2019-11-19T12:08:33Z 2019-04-01
dc.identifier.citation Noor-A-Rahim, M., Khyam, M. O., Li, X. and Pesch, D. (2019) 'Sensor Fusion and State Estimation of IoT Enabled Wind Energy Conversion System', Sensors, 19(7), 1566 (13pp). DOI:10.3390/s19071566 en
dc.identifier.volume 19 en
dc.identifier.issued 7 en
dc.identifier.startpage 1 en
dc.identifier.endpage 13 en
dc.identifier.issn 1424-8220
dc.identifier.doi 10.3390/s19071566 en
dc.description.abstract The use of renewable energy has increased dramatically over the past couple of decades. Wind farms, consisting of wind turbines, play a vital role in the generation of renewable energy. For monitoring and maintenance purposes, a wind turbine has a variety of sensors to measure the state of the turbine. Sensor measurements are transmitted to a control center, which is located away from the wind farm, for monitoring and maintenance purposes. It is therefore desirable to ensure reliable wireless communication between the wind turbines and the control center while integrating the observations from different sensors. In this paper, we propose an IoT based communication framework for the purpose of reliable communication between wind turbines and control center. The communication framework is based on repeat-accumulate coded communication to enhance reliability. A fusion algorithm is proposed to exploit the observations from multiple sensors while taking into consideration the unpredictable nature of the wireless channel. The numerical results show that the proposed scheme can closely predict the state of a wind turbine. We also show that the proposed scheme significantly outperforms traditional estimation schemes. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher MDPI en
dc.rights © 2019 by the authors. Licensee MDPI, Basel, Switzerland en
dc.rights.uri en
dc.subject Wind energy en
dc.subject Sensor fusion en
dc.subject State estimation en
dc.subject Internet of Things (IoT) en
dc.subject Renewable energy en
dc.title Sensor fusion and state estimation of IoT enabled wind energy conversion system en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother MD Noor-A-Rahim, School of Computer Science and IT, University College Cork, Cork, Ireland. +353-21-490-3000 Email: en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Horizon 2020 en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Sensors (Basel, Switzerland) en
dc.internal.IRISemailaddress en
dc.identifier.articleid 1566 en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGE en

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© 2019 by the authors. Licensee MDPI, Basel, Switzerland Except where otherwise noted, this item's license is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland
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