摘要：感应电机因其结构简单，运行方便，制造成本低等优良性能，在工业中广泛应用。由于电机运行中的故障会引起系统的连串反应,从而造成巨大的经济损失甚至是人员伤亡，电机故障诊断技术一直是国内外学者的研究热点。而随着现代工业系统自动化、集成化，智能化和精密化发展，预先识别电机故障和不稳定运行状态，及时排除故障成为电机故障诊断研究的关键技术。本文在分析了大量的故障类型及经典故障检测方法的基础上，概括了近年来人工智能诊断方法的最新研究近展，最后对电机故障诊断未来的研究方向做了合理的研究预测。
关键词：感应电机；故障诊断；人工智能；振动

Abstract: Induction motor widely used in industrial because of its simple structure, easy operation, excellent performance and low manufacturing costs. Motor fault in the operation of the system will cause a series of reactions, resulting in huge economic losses and even casualties. Motor fault diagnosis has been a research focus of domestic and foreign scholars. With the modern industrial system more automated, integrated, intelligent and precision, preidentified motor failure and instability running, timely troubleshooting become a key technology motor fault diagnosis. Based on the analysis of the basis of a large number of fault types and classical fault detection methods, in this paper, after analyzing a large number of fault types and classical fault detection methods , summarized the latest research in recent exhibition diagnostic methods of artificial intelligence. Finally future research direction of motor fault diagnosis made a reasonable study predicts.
Key words: induction motor;fault diagnosis;artificial intelligence;vibration