Maintenance modeling and optimization for wind turbine systems: A review

Ding, Fangfang; Tian, Zhigang; Jin, Tongdan

doi:10.1109/qr2mse.2013.6625648

Cited by 13 publications

(7 citation statements)

References 42 publications

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“…Eq. (13) guarantees the travel time from one task to another one is no less than the given travel time. Eq.…”

Section: Model For Prognostics-based Maintenance Scheduling and Vessementioning

confidence: 99%

“…The present model considers the expertise of technicians into M different types in Eq. 5and (13). The total number for each type of technicians is regarded as limited in the present model and this number is adjustable by users on the real situation day from day.…”

Section: Model For Prognostics-based Maintenance Scheduling and Vessementioning

confidence: 99%

“…In the current literature, maintenance scheduling and vessel routing mainly optimize the visible maintenance cost [8][9][10][11][12][13][14]. Early investigations in [15][16][17] utilize Traveling Salesman Problem (TSP) and Travelling Repairman Problem (TRP) to optimize the transportation cost.…”

Section: Introductionmentioning

confidence: 99%

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A Systematic Framework for Maintenance Scheduling and Routing for Off-Shore Wind Farms by Minimizing Predictive Production Loss

et al. 2021

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Maintenance scheduling and vessel routing are critical for the off-shore wind farm to reduce maintenance costs. In this research, a systematic framework that takes the advantage of predictive analysis for off-shore wind farm maintenance optimization is sketched and the optimization results are presented. The proposed framework consists of three different functional modules - the prognostic and diagnostic (P&D) module, the wind power prediction module, and the maintenance optimization module. The P&D module predicts and diagnoses the system failures based on the operational data of the wind turbine and generates the maintenance tasks for execution. The power prediction module predicts the weather conditions and the production of the wind turbine in the next 1-3 days, which will be helpful for maintenance task prioritization and scheduling. The optimization module absorbs information from the previous two modules as input and optimizes the overall maintenance costs. Comparing with the previous research works, this framework optimizes the maintenance cost in a more challenging situation by considering the predicted remaining useful life from the P&D module and also the future weather condition from the wind power prediction module. In the proposed framework, the maintenance scheduling and the vessel routing are optimized collaboratively with the consideration of real-time production loss. The result of the proposed framework is demonstrated on an off-shore wind farm and reduced maintenance cost is reported.

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“…Eq. (13) guarantees the travel time from one task to another one is no less than the given travel time. Eq.…”

Section: Model For Prognostics-based Maintenance Scheduling and Vessementioning

confidence: 99%

Section: Model For Prognostics-based Maintenance Scheduling and Vessementioning

confidence: 99%

See 1 more Smart Citation

A Systematic Framework for Maintenance Scheduling and Routing for Off-Shore Wind Farms by Minimizing Predictive Production Loss

et al. 2021

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“…Maintenance optimization for wind turbines has only recently started to received attention in the literature (we refer the reader to Ding et al (2013) for a survey). This stream of research primarily focuses on the definition of maintenance policies according to failure models or/and condition monitoring.…”

Section: Introductionmentioning

confidence: 99%

Solving a wind turbine maintenance scheduling problem

Froger

Gendreau

Mendoza

et al. 2017

J Sched

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“…Studies usually focus on a single turbine or a single wind farm and explore why failures happen, what should be done when they occur, and how they can be predicted or prevented. See Ding et al (2013) for a survey. The results of these studies can help to define the preventive maintenance operations that need to be performed in the short term.…”

Section: Introductionmentioning

confidence: 99%

A branch-and-check approach for a wind turbine maintenance scheduling problem

Froger

Gendreau

Mendoza

et al. 2017

Computers & Operations Research

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

Maintenance modeling and optimization for wind turbine systems: A review

Cited by 13 publications

References 42 publications

A Systematic Framework for Maintenance Scheduling and Routing for Off-Shore Wind Farms by Minimizing Predictive Production Loss

A Systematic Framework for Maintenance Scheduling and Routing for Off-Shore Wind Farms by Minimizing Predictive Production Loss

Solving a wind turbine maintenance scheduling problem

A branch-and-check approach for a wind turbine maintenance scheduling problem

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