Diagnoses of Internal Faults of Three Phase Squirrel Cage Induction Motor - A Review

被引:0
作者
Bindu, S. [1 ]
Thomas, Vinod V. [2 ]
机构
[1] Manipal Inst Technol, Dept E&E, Manipal, Karnataka, India
[2] Manipal Inst Technol, Manipal Inst Technol & Prof, E & E Dept, Manipal 576104, Karnataka, India
来源
PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY CONVERSION TECHNOLOGIES (ICAECT): INTELLIGENT ENERGY MANAGEMENT: TECHNOLOGIES AND CHALLENGES | 2014年
关键词
Motor current signature analysis (MCSA); condition monitoring; induction motor; fault diagnoses; broken bar; air gap eccentricity; stator inter-turn faults; ECCENTRICITY FAULTS; AIRGAP ECCENTRICITY; BROKEN BAR; MACHINES; SIGNAL; VIBRATION; STRATEGY;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
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.
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页码:48 / +
页数:3
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