Next Article in Journal
Towards a Proof of Bahri–Coron’s Type Theorem for Mixed Boundary Value Problems
Next Article in Special Issue
Joint Optimization of Condition-Based Maintenance and Performance Control for Linear Multi-State Consecutively Connected Systems
Previous Article in Journal
Parameter-Independent Event-Triggered Implicit UKF for the Celestial Navigation Using Time Delay Measurement
Previous Article in Special Issue
Optimal Stopping and Loading Rules Considering Multiple Attempts and Task Success Criteria
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost

1
School of Management, Zhengzhou University, Zhengzhou 450001, China
2
Laboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
*
Author to whom correspondence should be addressed.
Mathematics 2023, 11(8), 1954; https://doi.org/10.3390/math11081954
Submission received: 28 March 2023 / Revised: 17 April 2023 / Accepted: 19 April 2023 / Published: 20 April 2023
(This article belongs to the Special Issue System Reliability and Quality Management in Industrial Engineering)

Abstract

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.
Keywords: maintenance policy; system reliability; wind turbine systems; variable cost; importance measure maintenance policy; system reliability; wind turbine systems; variable cost; importance measure

Share and Cite

MDPI and ACS Style

Dui, H.; Zhang, Y.; Zhang, Y.-A. Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost. Mathematics 2023, 11, 1954. https://doi.org/10.3390/math11081954

AMA Style

Dui H, Zhang Y, Zhang Y-A. Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost. Mathematics. 2023; 11(8):1954. https://doi.org/10.3390/math11081954

Chicago/Turabian Style

Dui, Hongyan, Yulu Zhang, and Yun-An Zhang. 2023. "Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost" Mathematics 11, no. 8: 1954. https://doi.org/10.3390/math11081954

APA Style

Dui, H., Zhang, Y., & Zhang, Y.-A. (2023). Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost. Mathematics, 11(8), 1954. https://doi.org/10.3390/math11081954

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop