Analyzing and Detection of Rotor Faults in Squirrel Cage Induction Motor Drives Using MATLAB
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چکیده
منابع مشابه
Analyzing and Detection of Rotor Faults in Squirrel Cage Induction Motor Drives Using MATLAB
Induction motors are becoming familiar these days and is being employed in most of the industrial processes. This “Analyzing And Detection Of Rotor Faults In Squirrel Cage Induction Motor Drives Using Matlab” presents a simulation of detecting the rotor faults such as broken rotor bars or end rings in squirrel cage induction motor drives. It enables detection of those faults, which may arise du...
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A new method has been developed for the detection of broken rotor bars fault in squirrel cage induction motor during startup regimes. The incipient detection of fault is made by using DWT analysis of FIR low pass filtered original startup transient current signal. The extracted particular characteristic evolution of the time-varying signal is used as a fault index. The method was tested using h...
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Induction motors have become the most used electrical motors in the world. They are rugged, easy to maintain, low in cost and good in performance. Those benefits have made induction motors very popular among users. During their exploitation period induction motors are exposed to various stresses that can become fatal to their performance and bring with them huge economic losses and safety risks...
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The condition monitoring of the electrical machines can significantly reduce the costs of maintenance by allowing the early detection of faults, which could be expensive to repair. In this paper some results on non-invasive detection of broken rotor bars in squirrel-cage induction motors are presented. The applied method is the so-called motor current signature analysis (MCSA) which utilises th...
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Condition monitoring is an important issue in the maintenance of electrical machines. In the last years several methods for fault diagnosis of the squirrel-cage induction motors were cited in the literature. Among these methods the Motor Current Signature Analysis (MCSA) is considered the most effective non-invasive fault detection method, because it can easily detect all the common electrical ...
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ژورنال
عنوان ژورنال: International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
سال: 2015
ISSN: 2320-3765,2278-8875
DOI: 10.15662/ijareeie.2015.0406027