Review of Condition-Based Maintenance Strategies for Offshore Wind Energy

Kang, Jichuan; Sobral, J.; Soares, C. Guedes

doi:10.1007/s11804-019-00080-y

Cited by 50 publications

(23 citation statements)

References 141 publications

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“…According to the literature, maintenance weather windows are dependent on the wind speed for an onshore wind farm, while the wave height is also a decisive factor for offshore wind farms where accessibility depends on the type of maintenance vessel utilized [11][12][13][14]. For offshore wind farm operations, the location (distance to shore and water depth), meteorological and oceanographic variables influence the site accessibility, it is highlighted in the literature that there is a trend of moving from near-shore to deep water for offshore wind farm installations, which results in lower site accessibility and higher costs for the executions of corrective maintenance actions [15].…”

Section: Introductionmentioning

confidence: 99%

“…1 However, thus far, this has not been referred to in the literature concerning scheduling studies as a constraint which affects either operational scheduling or downtime. Previous academic work in this field has considered only wind speed and output power as the decisive parameters when generating a feasible maintenance plan in onshore [18,19] and significant wave height, wave peak period and wind speed in offshore [7,15]. It is already noted in both onshore and offshore crane manuals and safe working guides that working height and wind gust speed influence executions of crane operations [20,21].…”

Section: Introductionmentioning

confidence: 99%

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Automated wind turbine maintenance scheduling

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While many operation and maintenance (O&M) decision support systems (DSS) have been already proposed, a serious research need still exists for wind farm O&M scheduling. O&M planning is a challenging task, as maintenance teams must follow specific procedures when performing their service, which requires working at height in adverse weather conditions. Here, an automated maintenance programming framework is proposed based on real case studies considering available wind speed and wind gust data. The methodology proposed consists on finding the optimal intervention time and the most effective execution order for maintenance tasks and was built on information from regular maintenance visit tasks and a corrective maintenance visit. The objective is to find possible schedules where all work orders can be performed without breaks, and to find out when to start in order to minimise revenue losses (i.e. doing maintenance when there is least wind). For the DSS, routine maintenance tasks are grouped using the findings of an agglomerative nesting analysis. Then, the task execution windows are searched within pre-planned maintenance day.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automated wind turbine maintenance scheduling

Yürüşen

Rowley

Watson

et al. 2020

Reliability Engineering & System Safety

View full text Add to dashboard Cite

show abstract

“…The recent literature concerning these terms is properly summarized in specific bibliographic reviews [6][7][8]. These studies promote implementation frameworks for CBM such as the one proposed in reference [4], which are appropriate for complex production systems based on data mining and machine learning.…”

Section: Introductionmentioning

confidence: 99%

Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms

et al. 2019

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Maintenance has always been a key activity in the manufacturing industry because of its economic consequences. Nowadays, its importance is increasing thanks to the "Industry 4.0" or "fourth industrial revolution". There are more and more complex systems to maintain, and maintenance management must gain efficiency and effectiveness in order to keep all these devices in proper conditions. Within maintenance, Condition-Based Maintenance (CBM) programs can provide significant advantages, even though often these programs are complex to manage and understand. For this reason, several research papers propose approaches that are as simple as possible and can be understood by users and modified by experts. In this context, this paper focuses on CBM optimization in an industrial environment, with the objective of determining the optimal values of preventive intervention limits for equipment under corrective and preventive maintenance cost criteria. In this work, a cost-benefit mathematical model is developed. It considers the evolution in quality and production speed, along with condition based, corrective and preventive maintenance. The cost-benefit optimization is performed using a Multi-Objective Evolutionary Algorithm. Both the model and the optimization approach are applied to an industrial case.

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“…Historically, three types of maintenance strategies are developed to ensure the safety of railway industrial equipment [1], [2]. Firstly, the maintenance happens only when industrial equipment breaks down, hence malfunction…”

Section: Introductionmentioning

confidence: 99%

Towards Prognostic and Health Management of Train Wheels in the Chinese Railway Industry

2019

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Condition-based maintenance is a more advanced maintenance strategy, owing to reducing inspection and maintenance costs and improving the reliability of targeted assets. The maintenance strategies in the Chinese Railway industry are transforming from plan-based to condition-based, which has heightened the need for the completion of relevant research. This study proposes an experience-based health status evaluation method for train wheels, which considers factors in the wheel manufacturing process, operational process and maintenance process. The manufacturing factors are indicated by material properties and press-fitting influence factor, while operational and maintenance factors are indicated by wheel diameter and damages. Based on the health evaluation values, a decision-making function is constructed to divide wheels into four categories: fine, attention, pre-alarm and scrapped. Finally, the PHM + Wheel system is developed based on the proposed health evaluation method to provide support for maintenance strategy. The PHM + Wheel system has been practically applied to the Chinese Railway industry with adequate feedback received. INDEX TERMS Prognostic and health management, train wheels, health status evaluation, prognostics.

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Review of Condition-Based Maintenance Strategies for Offshore Wind Energy

Cited by 50 publications

References 141 publications

Automated wind turbine maintenance scheduling

Automated wind turbine maintenance scheduling

Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms

Towards Prognostic and Health Management of Train Wheels in the Chinese Railway Industry

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