基于人工智能的电气工程自动化故障诊断系统研究

中图分类号：TU855;TP18 文献标识码：A 文章编号:1672-3791(2026)01-0105-03

Research on Automatic Fault Diagnosis System for Electrical Engineering Based on Artificial Intelligence

WANG Qianpeng

BEFARGroup Co.,Ltd.,Binzhou,ShandongProvince,2566Oo Chin:

Abstract:Electrical enginering automation system is widelyused in modern industry,and its reliable operation is directlyrelated toindustrial production eficiencyandsafety.Traditional electrical fault diagnosismainlyreleson human experience,resulting in low diagnosis eficiency and accuracy.With the rapid development of artificial in - tellgence technology,inteligent technologiessuchasmachine learning,deep learning,expert systems,and bigdata analysis are introduced into fault diagnosis,which can effectively enhance the diagnosis level.This paper analyzes the significanceofthe researchonartificial inteligence-based automatic fault diagnosis system for electrical engineering. This paper expounds several main artificial intellgence diagnosis technologies and their application status,and puts forward system optimization strategies from the perspectives of model optimization,feature extraction,network structure improvement,training method innovation, knowledge base expansion,rule optimization,algorithm improvement,and multi-source data fusion,inordertoprovide reference for theintelligent development of electrical engineering fault diagnosis.

Keywords: Electrical automation; Fault diagnosis; Artificial intelligence; Machine learning; Deep learning

电气工程自动化是现代工业的重要技术支撑，其安全可靠运行直接关系到工业生产效益。（剩余4450字）