A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties

Maintenance optimization has received special attention among the wind energy research community over the past two decades. This is mainly because of the high degree of uncertainties involved in the execution of operation and maintenance (O&M) activities throughout the lifecycle of wind farms. T...
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Autor*in:	Sathishkumar Nachimuthu [verfasserIn] Ming J. Zuo [verfasserIn] Yi Ding [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	offshore wind farm offshore wind turbine maintenance failure classification resource decision uncertainty

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 12(2019), 8, p 1408
Übergeordnetes Werk:	volume:12 ; year:2019 ; number:8, p 1408

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en12081408

Katalog-ID:	DOAJ079170498

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author	Sathishkumar Nachimuthu
spellingShingle	Sathishkumar Nachimuthu misc offshore wind farm misc offshore wind turbine misc maintenance misc failure classification misc resource decision misc uncertainty misc Technology misc T A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties
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topic_title	A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties offshore wind farm offshore wind turbine maintenance failure classification resource decision uncertainty
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title	A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties
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title_sort	decision-making model for corrective maintenance of offshore wind turbines considering uncertainties
title_auth	A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties
abstract	Maintenance optimization has received special attention among the wind energy research community over the past two decades. This is mainly because of the high degree of uncertainties involved in the execution of operation and maintenance (O&M) activities throughout the lifecycle of wind farms. The increasing complexity in offshore maintenance execution demands applied research and brings forth a need to develop problem-specific maintenance decision-making models. In this paper, a mathematical model is proposed to assist wind farm stakeholders in making critical resource- related decisions for corrective maintenance at offshore wind farms (OWFs), considering uncertainties in turbine failure information.
abstractGer	Maintenance optimization has received special attention among the wind energy research community over the past two decades. This is mainly because of the high degree of uncertainties involved in the execution of operation and maintenance (O&M) activities throughout the lifecycle of wind farms. The increasing complexity in offshore maintenance execution demands applied research and brings forth a need to develop problem-specific maintenance decision-making models. In this paper, a mathematical model is proposed to assist wind farm stakeholders in making critical resource- related decisions for corrective maintenance at offshore wind farms (OWFs), considering uncertainties in turbine failure information.
abstract_unstemmed	Maintenance optimization has received special attention among the wind energy research community over the past two decades. This is mainly because of the high degree of uncertainties involved in the execution of operation and maintenance (O&M) activities throughout the lifecycle of wind farms. The increasing complexity in offshore maintenance execution demands applied research and brings forth a need to develop problem-specific maintenance decision-making models. In this paper, a mathematical model is proposed to assist wind farm stakeholders in making critical resource- related decisions for corrective maintenance at offshore wind farms (OWFs), considering uncertainties in turbine failure information.
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title_short	A Decision-making Model for Corrective Maintenance of Offshore Wind Turbines Considering Uncertainties
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