{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:47:55Z","timestamp":1771026475224,"version":"3.50.1"},"reference-count":40,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EDGE COFUND Marie Sklodowska Curie grant","award":["713567"],"award-info":[{"award-number":["713567"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s19071566","type":"journal-article","created":{"date-parts":[[2019,4,2]],"date-time":"2019-04-02T03:21:26Z","timestamp":1554175286000},"page":"1566","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Sensor Fusion and State Estimation of IoT Enabled Wind Energy Conversion System"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0587-3145","authenticated-orcid":false,"given":"Md.","family":"Noor-A-Rahim","sequence":"first","affiliation":[{"name":"School of Computer Science and IT, University College Cork, T12 K8AF Cork, Ireland"},{"name":"Nimbus Centre, Cork Institute of Technology, T12 P928 Cork, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. O.","family":"Khyam","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1529-4537","authenticated-orcid":false,"given":"Xinde","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation, Southeast University, Nanjing 210096, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dirk","family":"Pesch","sequence":"additional","affiliation":[{"name":"School of Computer Science and IT, University College Cork, T12 K8AF Cork, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1508","DOI":"10.1016\/j.energy.2015.06.100","article-title":"Robust control of the variable speed wind turbines in the presence of uncertainties: A comparison between H? and PID controllers","volume":"90","author":"Moradi","year":"2015","journal-title":"Energy"},{"key":"ref_2","first-page":"1406","article-title":"A Review of Wind Speed Estimation for Wind Turbine Systems Based on Kalman Filter Technique","volume":"6","author":"Jannati","year":"2016","journal-title":"Int. J. Electr. Comput. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2233","DOI":"10.1109\/TII.2014.2300753","article-title":"Internet of Things in Industries: A Survey","volume":"10","author":"Xu","year":"2014","journal-title":"IEEE Trans. Ind. Inf."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/JIOT.2014.2306328","article-title":"Internet of Things for Smart Cities","volume":"1","author":"Zanella","year":"2014","journal-title":"IEEE Internet Things J."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2347","DOI":"10.1109\/COMST.2015.2444095","article-title":"Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications","volume":"17","author":"Guizani","year":"2015","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_6","unstructured":"Berg, J.C., and Miller, K. (2008, January 1\u20134). Sensor Selection for Wind Turbine State Estimation. Proceedings of the ITEA Live-Virtual-Constructive Conference, Orlando, FL, USA."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1109\/TCST.2013.2260751","article-title":"Estimation of Rotor Effective Wind Speed: A Comparison","volume":"21","author":"Soltani","year":"2013","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"52029","DOI":"10.1088\/1742-6596\/753\/5\/052029","article-title":"The design of nonlinear observers for wind turbine dynamic state and parameter estimation","volume":"753","author":"Ritter","year":"2016","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_9","unstructured":"Petar, M., Petrovi, V., and Baotic, M. (2011, January 14\u201317). Dual Kalman Estimation of Wind Turbine States and Parameters. Proceedings of the International Conference on Process Control, Tatranska Lomnica, Slovakia."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Bourlis, D., and Bleijs, J.A.M. (2010, January 14\u201317). A wind speed estimation method using adaptive Kalman filtering for a variable speed stall regulated wind turbine. Proceedings of the 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, Singapore.","DOI":"10.1109\/PMAPS.2010.5528980"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1016\/j.renene.2014.05.029","article-title":"State estimation for wind farms including the wind turbine generator models","volume":"71","author":"Carrillo","year":"2014","journal-title":"Renew. Energy"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Sudev, P., Anita, J.P., and Sudheesh, P. (2017, January 13\u201316). Nonlinear state estimation of wind turbine. Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi, India.","DOI":"10.1109\/ICACCI.2017.8125866"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Yu, S., Fernando, T., Emami, K., and Iu, H.H.C. (2016). Dynamic State Estimation Based Control Strategy for DFIG Wind Turbine Connected to Complex Power Systems. IEEE Trans. Power Syst.","DOI":"10.1109\/TPWRS.2016.2590951"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"4935","DOI":"10.1109\/TPWRS.2015.2507620","article-title":"State Estimation of Doubly Fed Induction Generator Wind Turbine in Complex Power Systems","volume":"31","author":"Yu","year":"2016","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3527","DOI":"10.1049\/iet-gtd.2017.1377","article-title":"Modelling and estimation of gear train backlash present in wind turbine driven DFIG system","volume":"12","author":"Prajapat","year":"2018","journal-title":"IET Gener. Transm. Distrib."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1278","DOI":"10.1049\/iet-rpg.2015.0502","article-title":"Dynamic state estimation of a permanent magnet synchronous generator-based wind turbine","volume":"10","author":"Shahriari","year":"2016","journal-title":"IET Renew. Power Gener."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Shahinzadeh, H., Moradi, J., Gharehpetian, G.B., Nafisi, H., and Abedi, M. (2019, January 8\u20139). IoT Architecture for Smart Grids. Proceedings of the 2019 IEEE International Conference on Protection and Automation of Power System (IPAPS), Tehran, Iran.","DOI":"10.1109\/IPAPS.2019.8641944"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1016\/j.automatica.2004.01.014","article-title":"Multi-sensor optimal information fusion Kalman filter","volume":"40","author":"Sun","year":"2004","journal-title":"Automatica"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1695","DOI":"10.1016\/j.automatica.2005.04.020","article-title":"New approach to information fusion steady-state Kalman filtering","volume":"41","author":"Deng","year":"2005","journal-title":"Automatica"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2994","DOI":"10.1109\/TSMC.2016.2558103","article-title":"Distributed Robust Fusion Estimation with Application to State Monitoring Systems","volume":"47","author":"Chen","year":"2017","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.inffus.2015.06.001","article-title":"Multi-sensor information fusion estimators for stochastic uncertain systems with correlated noises","volume":"27","author":"Tian","year":"2016","journal-title":"Inf. Fusion"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1301","DOI":"10.1109\/TAC.2018.2849612","article-title":"A New Approach to Linear\/Nonlinear Distributed Fusion Estimation Problem","volume":"64","author":"Chen","year":"2019","journal-title":"IEEE Trans. Autom. Control"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"5415","DOI":"10.1109\/TAC.2017.2696746","article-title":"Networked Fusion Estimation With Bounded Noises","volume":"62","author":"Chen","year":"2017","journal-title":"IEEE Trans. Autom. Control"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/j.sigpro.2016.07.004","article-title":"Distributed fusion filter for networked stochastic uncertain systems with transmission delays and packet dropouts","volume":"130","author":"Ma","year":"2017","journal-title":"Signal Process."},{"key":"ref_25","unstructured":"Froese, M. (2019, March 27). Talking with Turbines through the Internet of Things. Available online: https:\/\/www.windpowerengineering.com\/wind-farm-networks\/talking-turbines-internet-things\/."},{"key":"ref_26","unstructured":"Masoud Barakati, S. (2019, March 27). Modeling and Controller Design of a Wind Energy Conversion System Including a Matrix Converter. Available online: http:\/\/hdl.handle.net\/10012\/3786."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1109\/TEC.2008.2005316","article-title":"Maximum Power Tracking Control for a Wind Turbine System Including a Matrix Converter","volume":"24","author":"Barakati","year":"2009","journal-title":"IEEE Trans. Energy Convers."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1109\/TIA.2012.2228836","article-title":"State-Space Modeling of Wind Turbine Generators for Power System Studies","volume":"49","author":"Ekanayake","year":"2013","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Ugalde-Loo, C.E., and Ekanayake, J.B. (2010, January 6\u20139). State-space modelling of variable-speed wind turbines: A systematic approach. Proceedings of the IEEE International Conference on Sustainable Energy Technologies (ICSET), Paris, France.","DOI":"10.1109\/ICSET.2010.5684454"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Noor-A-Rahim, M., Khyam, M.O., Ali, G.G.M.N., Liu, Z., Pesch, D., and Chong, P.H.J. (2019). Reliable State Estimation of an Unmanned Aerial Vehicle Over a Distributed Wireless IoT Network. IEEE Trans. Reliab., 1\u20139.","DOI":"10.1109\/TR.2019.2891994"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/4234.905935","article-title":"On the design of low-density parity-check codes within 0.0045 dB of the Shannon limit","volume":"5","author":"Chung","year":"2001","journal-title":"IEEE Commun. Lett."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1109\/TCOMM.2004.826370","article-title":"Design of Low-Density Parity-Check Codes for Modulation and Detection","volume":"52","author":"Kramer","year":"2004","journal-title":"IEEE Trans. Commun."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2764","DOI":"10.1109\/TSP.2003.818250","article-title":"Design of repeat-accumulate codes for iterative detection and decoding","volume":"51","author":"Kramer","year":"2003","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1902","DOI":"10.1049\/iet-com.2014.1193","article-title":"Performance estimation of finite-length repeat\u2013accumulate codes","volume":"9","author":"Zhang","year":"2015","journal-title":"IET Commun."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Noor-A-Rahim, M., Khyam, M.O., Guan, Y.L., Ali, G.G.N., Nguyen, K.D., and Lechner, G. (2018). Delay-Universal Channel Coding with Feedback. IEEE Access.","DOI":"10.1109\/ACCESS.2018.2853140"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1109\/18.910580","article-title":"Analysis of sum-product decoding of low-density parity-check codes using a {Gaussian} approximation","volume":"47","author":"Chung","year":"2001","journal-title":"IEEE Trans. Inform. Theory"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Johnson, S.J. (2010). Iterative Error Correction: Turbo, Low-Density Parity-Check and Repeat-Accumulate Codes, Cambridge University Press.","DOI":"10.1017\/CBO9780511809354"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1303","DOI":"10.1049\/iet-cta.2009.0032","article-title":"Kalman filtering with state constraints: A survey of linear and nonlinear algorithms","volume":"4","author":"Simon","year":"2010","journal-title":"IET Control Theory Appl."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1109\/MSP.2012.2203621","article-title":"Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation [Lecture Notes]","volume":"29","author":"Faragher","year":"2012","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.ast.2003.08.003","article-title":"Multi-sensor optimal information fusion Kalman filters with applications","volume":"8","author":"Sun","year":"2004","journal-title":"Aerosp. Sci. Technol."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/7\/1566\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:42:00Z","timestamp":1760186520000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/7\/1566"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,1]]},"references-count":40,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2019,4]]}},"alternative-id":["s19071566"],"URL":"https:\/\/doi.org\/10.3390\/s19071566","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,1]]}}}