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

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dc.contributor.authorNoor-A-Rahim, Md.
dc.contributor.authorKhyam, M. O.
dc.contributor.authorLi, Xinde
dc.contributor.authorPesch, Dirk
dc.contributor.funderHorizon 2020en
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2019-11-19T12:08:33Z
dc.date.available2019-11-19T12:08:33Z
dc.date.issued2019-04-01
dc.description.abstractThe 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.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid1566en
dc.identifier.citationNoor-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/s19071566en
dc.identifier.doi10.3390/s19071566en
dc.identifier.endpage13en
dc.identifier.issn1424-8220
dc.identifier.issued7en
dc.identifier.journaltitleSensors (Basel, Switzerland)en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/9087
dc.identifier.volume19en
dc.language.isoenen
dc.publisherMDPIen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGEen
dc.relation.urihttps://www.mdpi.com/1424-8220/19/7/1566
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerlanden
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectWind energyen
dc.subjectSensor fusionen
dc.subjectState estimationen
dc.subjectInternet of Things (IoT)en
dc.subjectRenewable energyen
dc.titleSensor fusion and state estimation of IoT enabled wind energy conversion systemen
dc.typeArticle (peer-reviewed)en
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