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Fault Diagnosis of Three-Phase Induction Motor: A Review
Optics
Volume 4, Issue 1-1, January 2015, Pages: 1-8
Received: Sep. 20, 2014; Accepted: Sep. 25, 2014; Published: Nov. 29, 2014
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Author
Malik Abadulrazzaq Alsaedi, Dept. of Electrical, Faculty of Engineering, University of Misan, Amarah, Iraq
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Abstract
Now a days the use of Condition Monitoring of electrical machines are increasing due to its potential to reduce operating costs, enhance the reliability of operation and improve service to customers. Different alternatives to detect and diagnose faults in induction machines have been proposed and implemented in the last years. These new alternatives are characterized by an on-line and non-invasive feature, that is to say, the capacity to detect faults while the machine is working and the capacity to work sensor less. These characteristics, obtained by the new techniques, distinguish them from the traditional ones, which, in most cases, need that the machine which is being analyzed is not working to do the diagnosis. The main purpose of this article is to revise the main alternatives in the detection of faults in induction machines and compare their contributions according to the information they require for the diagnosis, the number and relevance of the faults that can be detected, the speed to anticipate a fault and the accuracy in the diagnosis. and to identify various such diagnosis techniques that can be applied for automatic condition monitoring of induction motors and can be extended easily to other electrical machines also.
Keywords
Induction Machines, Fault Detection and Fault Diagnosis
To cite this article
Malik Abadulrazzaq Alsaedi, Fault Diagnosis of Three-Phase Induction Motor: A Review, Optics. Special Issue: Applied Optics and Signal Processing. Vol. 4, No. 1-1, 2015, pp. 1-8. doi: 10.11648/j.optics.s.2015040101.11
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