Towards Reliability Centred Maintenance of Wind Turbines

McMillan, David; Ault, Graham

doi:10.1007/978-81-322-1798-5_12

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Then, the full text of each work was carefully reviewed to eliminate those that were not related to the field of -optimization‖ or -scheduling‖. Finally, two hundred and forty-six publications including one hundred and seventy-nine journal articles , thirty-seven master and doctoral dissertations , twelve textbooks [224][225][226][227][228][229][230][231][232][233][234][235], and eighteen industrial reports [236][237][238][239][240][241][242][243][244][245][246][247][248][249][250][251][252][253] were selected for their relevance to the topic. Figure 3 represents a bar chart of number of publications concerning maintenance policy optimization and inspection planning of wind turbine systems in five-year periods, from 1997 to 2001, 2002 to 2006, 2007 to 2011, and 2012 As can be seen, over 72% of the publications have appeared during last five years which indicates the increasing importance of the maintenance optimization in wind energy industry.…”

Section: The Frameworkmentioning

confidence: 99%

“…-Reliability-centered, condition based, and predictive maintenance Reliability centered maintenance (RCM) has been widely recognized and implemented in the wind energy industry [27,115,166,229,245]. RCM is used to optimize the maintenance decisions of a system while preventing its reliability level from dropping below a certain specified value.…”

Section: A C C E P T E D Mmentioning

confidence: 99%

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Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

Shafiee

Sørensen

2019

Reliability Engineering & System Safety

138

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Highlights A classification framework for the study of maintenance policy optimization and inspection planning in wind energy industry;  To identify models, methods and strategies used to optimize maintenance decisions and inspection procedures for various wind energy assets (turbines, foundations, cables, electrical substations, etc.);  A systematic review of the literature over the past two decades (1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016);  Identify critical observations on each category of classification;  Suggest directions of potential interest to operational researchers.

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Section: The Frameworkmentioning

confidence: 99%

Section: A C C E P T E D Mmentioning

confidence: 99%

Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

Shafiee

Sørensen

2019

Reliability Engineering & System Safety

138

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“…Life Cycle Cost analysis (LCC) for WTs has received increased attention in recent years; see for example [1,2,[6][7][8][9]. LCC has been evaluated with probabilistic methods and sensitivity analysis to identify the benefit of using condition monitoring system (CMS) in [1].…”

Section: Introductionmentioning

confidence: 99%

Cost efficient maintenance strategies for wind power systems using LCC

Puglia

Bangalore

Tjernberg

2014

2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

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Maintenance costs for wind power plants are a significant part of the total life cycle cost, especially for offshore wind power plants, situated at remote sites. In order to decrease the cost of maintenance, monitoring systems have been used to estimate the condition of critical components in wind turbines. This paper proposes Life Cycle Cost analysis (LCC) approach for maintenance management of wind turbines. The LCC approach for maintenance management presented in this paper is an extension on previous work by J. Nilsson and L. Bertling, where a comparison has been made with this previous work and the same is extended with new data and models. Case studies are presented based on data from three different wind turbinesrated 3 and 6MW. Three different scenarios have been studied and the effect of condition monitoring system (CMS) has been analysed. For any chosen value the CMS proves to be a profitable option.

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