Condition Based Maintenance optimization of wind turbine system using degradation prediction

Pazouki, Elham; Bahrami, Hamid Reza; Choi, Seungdeog

doi:10.1109/pesgm.2014.6939918

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…There has been significant research on simulation-based predictive maintenance optimization for wind turbines and farms. Pazouki, Bahrami, and Choi (2014) propose a PHMbased predictive maintenance optimization model by choosing the failure probability threshold that triggers the predictive maintenance and the periodic inspection interval as the two decision variables. Byon and Ding (2010) develop a season-dependent dynamic model to schedule maintenance activities based on the deterioration status, failure modes, weather, and maintenance lead time, assuming the wind farm operators make maintenance decisions on a weekly basis.…”

Section: Review Of the Maintenance Modeling Literaturementioning

confidence: 99%

International Journal of Prognostics and Health Management, ISSN 2153-2648, 2016 008 PHM-Based Wind Turbine Maintenance Optimization Using Real Options

Lei

Sandborn

2020

IJPHM

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A simulation-based real options analysis (ROA) approach is used to determine the optimum predictive maintenance opportunity for a wind turbine with a remaining useful life (RUL) prediction. When an RUL is predicted for a subsystem in a single turbine using PHM, a predictive maintenance option is triggered that the decision-maker has the flexibility to decide if and when to exercise before the subsystem or turbine fails. The predictive maintenance value paths are simulated by considering the uncertainties in the RUL prediction and wind speed (that govern the turbine’s revenue earning potential). By valuating a series of European options expiring on all possible predictive maintenance opportunities, a series of option values can be obtained, and the optimum predictive maintenance opportunity can be determined. A case study is presented in which the ROA approach is applied to a single turbine.

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Section: Review Of the Maintenance Modeling Literaturementioning

confidence: 99%

International Journal of Prognostics and Health Management, ISSN 2153-2648, 2016 008 PHM-Based Wind Turbine Maintenance Optimization Using Real Options

Lei

Sandborn

2020

IJPHM

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“…[33]). Under this policy, when the length of a crack in action is also carried out for the other blade(s).…”

Section: Analysis Of Particular Cases Of Maintenance a Breakdown Or mentioning

confidence: 99%

An opportunistic condition-based maintenance policy for offshore wind turbine blades subjected to degradation and environmental shocks

Shafiee

Finkelstein

Bérenguer

2015

Reliability Engineering & System Safety

165

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“…Some research has employed different types of threshold such as the probability or cost thresholds. Pazouki et al 33 introduced a failure probability threshold for CBM optimisation and used the Weibull distribution to estimate the failure probability and optimise the failure threshold in their CBM policy. Zhou and Yin 34 introduced a concept of ‘average effective maintenance cost’, which could be estimated from the reliability information of WT components at the time of inspection, to develop an opportunistic CBM strategy depending on a maintenance cost threshold.…”

Section: Introductionmentioning

confidence: 99%

Integrated condition‐based maintenance modelling and optimisation for offshore wind turbines

et al. 2021

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Maintenance is essential in keeping wind energy assets operating efficiently. With the development of advanced condition monitoring, diagnostics and prognostics, condition‐based maintenance has attracted much attention in the offshore wind industry in recent years. This paper models various maintenance activities and their impacts on the degradation and performance of offshore wind turbine components. An integrated maintenance strategy of corrective maintenance, imperfect time‐based preventive maintenance and condition‐based maintenance is proposed and compared with other traditional maintenance strategies. A maintenance simulation programme is developed to simulate the degradation and maintenance of offshore wind turbines and estimate their performance. A case study on a 10‐MW offshore wind turbine (OWT) is presented to analyse the performance of different maintenance strategies. The simulation results reveal that the proposed strategy not only reduces the total maintenance cost but also improves the energy generation by reducing the total downtime and expected energy not supplied. Furthermore, the proposed maintenance strategy is optimised to find the best degradation threshold and balance the trade‐off between the use of condition‐based maintenance and other maintenance activities.

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Condition Based Maintenance optimization of wind turbine system using degradation prediction

Cited by 8 publications

References 14 publications

International Journal of Prognostics and Health Management, ISSN 2153-2648, 2016 008 PHM-Based Wind Turbine Maintenance Optimization Using Real Options

International Journal of Prognostics and Health Management, ISSN 2153-2648, 2016 008 PHM-Based Wind Turbine Maintenance Optimization Using Real Options

An opportunistic condition-based maintenance policy for offshore wind turbine blades subjected to degradation and environmental shocks

Integrated condition‐based maintenance modelling and optimisation for offshore wind turbines

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