RESEARCH PAPER
Multi-reliability index evaluation and maintenance period optimization method of wind turbine considering failure correlation
1
Department of Mechanical Engineering, North China Electric Power University, China
2
Hebei Engineering Research Center for Advanced Manufacturing & Intelligent Operation and Maintenance of Electric Power Machinery, China
Submission date: 2024-11-04
Final revision date: 2024-12-09
Acceptance date: 2025-02-11
Online publication date: 2025-02-15
Publication date: 2025-02-15
Corresponding author
Yuling He
Hebei Engineering Research Center for Advanced Manufacturing & Intelligent Operation and Maintenance of Electric Power Machinery, China
Hebei Engineering Research Center for Advanced Manufacturing & Intelligent Operation and Maintenance of Electric Power Machinery, China
HIGHLIGHTS
- Multi-reliability indexes of wind turbine are obtained.
- The optimal maintenance period of wind turbine is determined.
- The failure correlation among wind turbine components is considered.
- The validity of the proposed method is verified by example analysis.
KEYWORDS
reliability evaluationWind turbinefailure correlationsequential Monte Carlomaintenance period optimization
TOPICS
ABSTRACT
A multi-reliability index evaluation and maintenance period optimization method of wind turbine considering failure correlation is proposed to address the problems that the most existing reliability evaluation methods of wind turbine fail to consider the failure correlation among system components and often rely on a single reliability index to conduct reliability evaluation. Firstly, considering the failure correlation among system components, the reliability model of wind turbine and its comprehensive reliability model for component are established. Secondly, based on the sequential Monte Carlo simulation, a multi-reliability index evaluation method of wind turbine considering failure correlation and maintenance combination strategy is presented. Moreover, the maintenance period optimization method of wind turbine is proposed by using the unit time cost as the objective function. Finally, the effectiveness of the proposed method is verified through example analysis.
ACKNOWLEDGEMENTS
This work is supported by National Natural Science Foundation of China (52177042), Key Project of Science and Technology Research of Hebei Province Higher Education Institutions(ZD2022162), Hebei Province Higher Education Scientific Research Project(ZC2025087), Fundamental Research Funds for the Central Universities (2024MS133), Top Youth Talent Support Program of Hebei Province ([2018]-27), Hebei Provincial High-Level Talent Funding Project (B20231006).
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| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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