Advanced Tool Based Condition Monitoring of Induction Machines by Using LabVIEW-A Review

被引:0
|
作者
Ranga, Chilaka [1 ]
Chandel, Ashwani Kumar [1 ]
机构
[1] Natl Inst Technol Hamirpur, Dept Elect Engn, Hamirpur, Himachal Prades, India
关键词
data acquisition system; wavelet transform; fuzzy logic controllers; artificial neural networks; S-transform; FAULT-DIAGNOSIS; AIRGAP ECCENTRICITY; MOTORS; VIBRATION; STATOR; ANALYZER; DRIVE; BARS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Alternating current motors are largely used in all industries. It is very important to protect these motors from unexpected faults and breakdowns at their incipient level so that a well trained and planned maintenance could be done properly. Various fault diagnosis techniques have been developed for last two decades viz. motor current signature analysis, vibration monitoring, thermal monitoring etc. Such monitoring techniques still offer challenging tasks for experts and researchers. They are very difficult to understand and perform. Difficulties of such techniques have been overcome by LabVIEW programming. It provides the best platform to study the characteristics of the rotating machines. Subsequently, detailed literature review has been carried out on various LabVIEW based condition monitoring techniques of induction machines and their diagnosis advancements. The present review paper discusses about all faults of induction motors and their advanced on-line diagnosing tools. It provides an easy understanding to researches, academics, experts and inexperienced engineers about LabVIEW based diagnosis of induction machines.
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页数:6
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