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

Show simple item record

dc.contributor.author Noor-A-Rahim, Md.
dc.contributor.author Khyam, M. O.
dc.contributor.author Li, Xinde
dc.contributor.author Pesch, Dirk
dc.date.accessioned 2019-11-19T12:08:33Z
dc.date.available 2019-11-19T12:08:33Z
dc.date.issued 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.uri http://hdl.handle.net/10468/9087
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.relation.uri https://www.mdpi.com/1424-8220/19/7/1566
dc.rights © 2019 by the authors. Licensee MDPI, Basel, Switzerland en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ 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: m.rahim@cs.ucc.ie 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 m.rahim@cs.ucc.ie 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


Files in this item

This item appears in the following Collection(s)

Show simple item record

© 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
This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement