Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research

Han Peng (), Songyin Li, Linjian Shangguan (), Yisa Fan and Hai Zhang
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Han Peng: School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Songyin Li: School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Linjian Shangguan: School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Yisa Fan: School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Hai Zhang: School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China

Sustainability, 2023, vol. 15, issue 10, 1-35

Abstract: Power generation from wind farms is growing rapidly around the world. In the past decade, wind energy has played an important role in contributing to sustainable development. However, wind turbines are extremely susceptible to component damage under complex environments and over long-term operational cycles, which directly affects their maintenance, reliability, and operating costs. It is crucial to realize efficient early warning of wind turbine failure to avoid equipment breakdown, to prolong the service life of wind turbines, and to maximize the revenue and efficiency of wind power projects. For this purpose, wind turbines are used as the research object. Firstly, this paper outlines the main components and failure mechanisms of wind turbines and analyzes the causes of equipment failure. Secondly, a brief analysis of the cost of wind power projects based on equipment failure is presented. Thirdly, the current key technologies for intelligent operation and maintenance (O&M) in the wind power industry are discussed, and the key research on decision support systems, fault diagnosis models, and life-cycle costs is presented. Finally, current challenges and future development directions are summarized.

Keywords: wind energy industry; equipment failure; operation and maintenance cost; intelligent operation and maintenance technology (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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