Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost
Wind farms have gained wide attention due to unlimited resources and clean energy. Considering that wind turbine systems are always in harsh conditions, subsystem failures could reduce the reliability of wind turbine systems. At present, the maintenance behaviors for wind turbine systems are various...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/8/1954 |
| _version_ | 1797604468379877376 |
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| author | Hongyan Dui Yulu Zhang Yun-An Zhang |
| author_facet | Hongyan Dui Yulu Zhang Yun-An Zhang |
| author_sort | Hongyan Dui |
| collection | DOAJ |
| description | Wind farms have gained wide attention due to unlimited resources and clean energy. Considering that wind turbine systems are always in harsh conditions, subsystem failures could reduce the reliability of wind turbine systems. At present, the maintenance behaviors for wind turbine systems are various (e.g., corrective maintenance, preventive maintenance) when reliability is reduced below the threshold. Considering the maintenance cost and downtime, it is impossible to repair each component in a timely manner. One of the key problems is dividing components into maintenance groups to improve maintenance efficiency. In this paper, a grouping maintenance policy considering the variable cost (GMP-VC) is proposed to improve direct-drive permanent magnet (DPM) turbine systems. Grouping modes are proposed to fully consider the stated transition probability of turbine components and the variable cost of turbine systems. A maintenance model is formulated to select components as members of the group based on a RIM-VC index. An instance is given to verify the proposed GMP-VC method. The result indicates that the proposed maintenance policy may save maintenance costs over baseline plans. |
| first_indexed | 2024-03-11T04:46:54Z |
| format | Article |
| id | doaj.art-94f4559199d642ac93ff6ccd2620129b |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T04:46:54Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-94f4559199d642ac93ff6ccd2620129b2023-11-17T20:18:59ZengMDPI AGMathematics2227-73902023-04-01118195410.3390/math11081954Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable CostHongyan Dui0Yulu Zhang1Yun-An Zhang2School of Management, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Management, Zhengzhou University, Zhengzhou 450001, ChinaLaboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaWind farms have gained wide attention due to unlimited resources and clean energy. Considering that wind turbine systems are always in harsh conditions, subsystem failures could reduce the reliability of wind turbine systems. At present, the maintenance behaviors for wind turbine systems are various (e.g., corrective maintenance, preventive maintenance) when reliability is reduced below the threshold. Considering the maintenance cost and downtime, it is impossible to repair each component in a timely manner. One of the key problems is dividing components into maintenance groups to improve maintenance efficiency. In this paper, a grouping maintenance policy considering the variable cost (GMP-VC) is proposed to improve direct-drive permanent magnet (DPM) turbine systems. Grouping modes are proposed to fully consider the stated transition probability of turbine components and the variable cost of turbine systems. A maintenance model is formulated to select components as members of the group based on a RIM-VC index. An instance is given to verify the proposed GMP-VC method. The result indicates that the proposed maintenance policy may save maintenance costs over baseline plans.https://www.mdpi.com/2227-7390/11/8/1954maintenance policysystem reliabilitywind turbine systemsvariable costimportance measure |
| spellingShingle | Hongyan Dui Yulu Zhang Yun-An Zhang Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost Mathematics maintenance policy system reliability wind turbine systems variable cost importance measure |
| title | Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost |
| title_full | Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost |
| title_fullStr | Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost |
| title_full_unstemmed | Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost |
| title_short | Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost |
| title_sort | grouping maintenance policy for improving reliability of wind turbine systems considering variable cost |
| topic | maintenance policy system reliability wind turbine systems variable cost importance measure |
| url | https://www.mdpi.com/2227-7390/11/8/1954 |
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