微特电机 ›› 2023, Vol. 51 ›› Issue (7): 57-66.
孙浩, 孔令崧
收稿日期:2023-03-02
出版日期:2023-07-28
发布日期:2023-07-24
作者简介:孙浩(1999-),男,硕士研究生,研究方向为电机故障诊断研究。
SUN Hao, KONG Lingsong
Received:2023-03-02
Online:2023-07-28
Published:2023-07-24
摘要: 笼型电机在运行过程中,电气、机械、热、磁和环境应力均可能导致其出现故障。开发一种可靠且高效的笼型电机故障诊断技术逐渐成为一项重要的研究课题。转子断条故障是笼型电机关键故障之一,会影响笼型电机的正常工作,需要对转子断条进行监测,及时发现潜在故障并预警。针对该问题,从电流信号、电压信号、振动信号和声信号这几方面进行分析,对现有的转子断条故障诊断技术进行梳理、归纳,并将各类方法的优势和局限性进行对比分析,总结了笼型电机转子断条故障诊断技术存在的主要问题,并对未来发展趋势进行了展望,旨在给该领域研究人员提供研究思路。
中图分类号:
孙浩, 孔令崧. 基于故障特征分析的笼型电机转子断条故障诊断方法综述[J]. 微特电机, 2023, 51(7): 57-66.
SUN Hao, KONG Lingsong. Review of Fault Diagnosis Methods for Cage Motor Rotor Broken Bars Based on Fault Characteristic Analysis[J]. Small & Special Electrical Machines, 2023, 51(7): 57-66.
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