中圖分類號：TM732 文獻標志碼：A DOI: 10.16157/j.issn.0258-7998.256315
中文引用格式： 楊雨飛，梁盈威，劉承徽，等. 基于FMEA的多電力設(shè)備故障預(yù)測維護算法[J]. 電子技術(shù)應(yīng)用，2025，51(7)：106-114.
英文引用格式： Yang Yufei，Liang Yingwei，Liu Chenghui，et al. Multi-power equipment fault prediction and maintenance algorithm based on FMEA[J]. Application of Electronic Technique，2025，51(7)：106-114.

Multi-power equipment fault prediction and maintenance algorithm based on FMEA

Abstract： Current maintenance programmes for multiple abnormally operating switchgear in large power plants tend to ignore the close interactions between complex components within the equipment, which is particularly relevant for switchgear containing a variety of moving and stationary parts. In view of this, a predictive maintenance scheduling strategy is proposed, which aims to find an optimal balance between the dual objectives of maximizing the cost-effectiveness of switchgear maintenance and minimizing the risk to the grid due to equipment failure. Firstly, a failure mode and impact analysis technique is used to analyze the interdependencies between switchgear components and their potential failure modes, in order to derive a more realistic probability of failure prediction. Subsequently, a comprehensive risk assessment system is designed, which not only considers the losses that switchgear failures may bring to the grid, but also comprehensively evaluates the costs and benefits associated with maintenance activities. In order to verify the effectiveness of the method, a 10 kV substation is selected as a study case, and data analysis reveals that the predictive maintenance scheduling method proposed in this paper achieves a significant improvement of 36% in terms of cost efficiency compared to the traditional time interval-based maintenance strategy.

Key words : multiple power equipment；predictive maintenance；switchgear；FMEA；risk assessment；maintenance strategy