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首页> 外文会议>2014 International Conference on Advances in Energy Conversion Technologies : Intelligent Energy Management: Technologies and Challenges >Diagnoses of internal faults of three phase squirrel cage induction motor — A review
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Diagnoses of internal faults of three phase squirrel cage induction motor — A review

机译：三相鼠笼式感应电动机的内部故障诊断—综述

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摘要

Three phase squirrel cage induction motors are the most popular motors in industries. Electrical, magnetic, mechanical, thermal and environmental stresses during operating conditions lead to internal faults in it. There are no reliable non-invasive tools available for early diagnoses of internal faults. Hence, these internal faults are likely to be left undetected in its early stage, leading to unscheduled maintenance, process shutdown and huge financial loss in industries. Early detection of faults helps to save resources by avoiding process shutdown/repair of machines. Hence, there is a need for a reliable non-invasive condition monitoring system for three phase squirrel cage induction motors. Condition monitoring involves non-invasive acquisition of signals, processing, fault signature extraction, decision making on the presence and type of faults. This paper reviews the current trends in internal fault diagnosis of induction machines and identifies future research options. A statistical analysis of the results of motor current signatures obtained from a motor with rotor bar faults is done to study the relative effect of fault severity and load variation on the current signature.
机译：三相鼠笼式感应电动机是工业上最受欢迎的电动机。在运行条件下的电，磁，机械，热和环境应力会导致内部故障。没有可靠的非侵入性工具可用于内部故障的早期诊断。因此，这些内部故障很可能在早期就未被发现，从而导致计划外的维护，过程关闭以及行业的巨大财务损失。早期发现故障有助于避免过程关闭/机器维修，从而节省资源。因此，需要一种用于三相鼠笼式感应电动机的可靠的非侵入式状态监测系统。状态监视包括无创信号采集，处理，故障特征提取，对故障的存在和类型的决策。本文回顾了感应电机内部故障诊断的当前趋势，并确定了未来的研究选择。对带有转子条故障的电机获得的电机电流信号的结果进行统计分析，以研究故障严重程度和负载变化对电流信号的相对影响。

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