Prognostics and Health Management of Renewable Energy Systems: State of the Art Review, Challenges, and Trends

The purpose of this study is to highlight approaches for predicting a system’s future behavior and estimating its remaining useful life (RUL) to define an effective maintenance schedule. Indeed, prognosis and health management (PHM) strategies for renewable energy systems, with a focus on wind turbi...

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Autores principales:	Lotfi Saidi, Mohamed Benbouzid
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	data acquisition health indicator machine learning power converter prognostics and health management prognostic approach Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/505b4cb065cb46ee9202658187d5a3b8
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spelling	oai:doaj.org-article:505b4cb065cb46ee9202658187d5a3b82021-11-25T17:24:04ZPrognostics and Health Management of Renewable Energy Systems: State of the Art Review, Challenges, and Trends10.3390/electronics102227322079-9292https://doaj.org/article/505b4cb065cb46ee9202658187d5a3b82021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2732https://doaj.org/toc/2079-9292The purpose of this study is to highlight approaches for predicting a system’s future behavior and estimating its remaining useful life (RUL) to define an effective maintenance schedule. Indeed, prognosis and health management (PHM) strategies for renewable energy systems, with a focus on wind turbine generators, are given, as well as publications published in the recent ten years. As a result, some prognostic applications in renewable energy systems are emphasized, such as power converter devices, battery capacity degradation, and damage in wind turbine high-speed shaft bearings. The paper not only focuses on the methodologies adopted during the early research in the area of PHM but also investigates more current challenges and trends in this domainLotfi SaidiMohamed BenbouzidMDPI AGarticledata acquisitionhealth indicatormachine learningpower converterprognostics and health managementprognostic approachElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2732, p 2732 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	data acquisition health indicator machine learning power converter prognostics and health management prognostic approach Electronics TK7800-8360
spellingShingle	data acquisition health indicator machine learning power converter prognostics and health management prognostic approach Electronics TK7800-8360 Lotfi Saidi Mohamed Benbouzid Prognostics and Health Management of Renewable Energy Systems: State of the Art Review, Challenges, and Trends
description	The purpose of this study is to highlight approaches for predicting a system’s future behavior and estimating its remaining useful life (RUL) to define an effective maintenance schedule. Indeed, prognosis and health management (PHM) strategies for renewable energy systems, with a focus on wind turbine generators, are given, as well as publications published in the recent ten years. As a result, some prognostic applications in renewable energy systems are emphasized, such as power converter devices, battery capacity degradation, and damage in wind turbine high-speed shaft bearings. The paper not only focuses on the methodologies adopted during the early research in the area of PHM but also investigates more current challenges and trends in this domain
format	article
author	Lotfi Saidi Mohamed Benbouzid
author_facet	Lotfi Saidi Mohamed Benbouzid
author_sort	Lotfi Saidi
title	Prognostics and Health Management of Renewable Energy Systems: State of the Art Review, Challenges, and Trends
title_short	Prognostics and Health Management of Renewable Energy Systems: State of the Art Review, Challenges, and Trends
title_full	Prognostics and Health Management of Renewable Energy Systems: State of the Art Review, Challenges, and Trends
title_fullStr	Prognostics and Health Management of Renewable Energy Systems: State of the Art Review, Challenges, and Trends
title_full_unstemmed	Prognostics and Health Management of Renewable Energy Systems: State of the Art Review, Challenges, and Trends
title_sort	prognostics and health management of renewable energy systems: state of the art review, challenges, and trends
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/505b4cb065cb46ee9202658187d5a3b8
work_keys_str_mv	AT lotfisaidi prognosticsandhealthmanagementofrenewableenergysystemsstateoftheartreviewchallengesandtrends AT mohamedbenbouzid prognosticsandhealthmanagementofrenewableenergysystemsstateoftheartreviewchallengesandtrends
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Prognostics and Health Management of Renewable Energy Systems: State of the Art Review, Challenges, and Trends

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