Fault Diagnosis of Three-Phase Induction Motor: A Review

Malik Abadulrazzaq Alsaedi

doi:doi:10.11648/j.optics.s.2015040101.11

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Fault Diagnosis of Three-Phase Induction Motor: A Review

Malik Abadulrazzaq Alsaedi

Published in Optics (Volume 4, Issue 1-1)

Received: 20 September 2014 Accepted: 25 September 2014 Published: 29 November 2014

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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.

Published in	Optics (Volume 4, Issue 1-1) This article belongs to the Special Issue Applied Optics and Signal Processing
DOI	10.11648/j.optics.s.2015040101.11
Page(s)	1-8
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Induction Machines, Fault Detection and Fault Diagnosis

References

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APA Style

Malik Abadulrazzaq Alsaedi. (2014). Fault Diagnosis of Three-Phase Induction Motor: A Review. Optics, 4(1-1), 1-8. https://doi.org/10.11648/j.optics.s.2015040101.11

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ACS Style

Malik Abadulrazzaq Alsaedi. Fault Diagnosis of Three-Phase Induction Motor: A Review. Optics. 2014, 4(1-1), 1-8. doi: 10.11648/j.optics.s.2015040101.11

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AMA Style

Malik Abadulrazzaq Alsaedi. Fault Diagnosis of Three-Phase Induction Motor: A Review. Optics. 2014;4(1-1):1-8. doi: 10.11648/j.optics.s.2015040101.11

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@article{10.11648/j.optics.s.2015040101.11,
  author = {Malik Abadulrazzaq Alsaedi},
  title = {Fault Diagnosis of Three-Phase Induction Motor: A Review},
  journal = {Optics},
  volume = {4},
  number = {1-1},
  pages = {1-8},
  doi = {10.11648/j.optics.s.2015040101.11},
  url = {https://doi.org/10.11648/j.optics.s.2015040101.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.optics.s.2015040101.11},
  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.},
 year = {2014}
}

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TY  - JOUR
T1  - Fault Diagnosis of Three-Phase Induction Motor: A Review
AU  - Malik Abadulrazzaq Alsaedi
Y1  - 2014/11/29
PY  - 2014
N1  - https://doi.org/10.11648/j.optics.s.2015040101.11
DO  - 10.11648/j.optics.s.2015040101.11
T2  - Optics
JF  - Optics
JO  - Optics
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EP  - 8
PB  - Science Publishing Group
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AB  - 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.
VL  - 4
IS  - 1-1
ER  -

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Author Information

Malik Abadulrazzaq Alsaedi

Dept. of Electrical, Faculty of Engineering, University of Misan, Amarah, Iraq

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APA Style

Malik Abadulrazzaq Alsaedi. (2014). Fault Diagnosis of Three-Phase Induction Motor: A Review. Optics, 4(1-1), 1-8. https://doi.org/10.11648/j.optics.s.2015040101.11

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ACS Style

Malik Abadulrazzaq Alsaedi. Fault Diagnosis of Three-Phase Induction Motor: A Review. Optics. 2014, 4(1-1), 1-8. doi: 10.11648/j.optics.s.2015040101.11

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AMA Style

Malik Abadulrazzaq Alsaedi. Fault Diagnosis of Three-Phase Induction Motor: A Review. Optics. 2014;4(1-1):1-8. doi: 10.11648/j.optics.s.2015040101.11

Copy | Download

@article{10.11648/j.optics.s.2015040101.11,
  author = {Malik Abadulrazzaq Alsaedi},
  title = {Fault Diagnosis of Three-Phase Induction Motor: A Review},
  journal = {Optics},
  volume = {4},
  number = {1-1},
  pages = {1-8},
  doi = {10.11648/j.optics.s.2015040101.11},
  url = {https://doi.org/10.11648/j.optics.s.2015040101.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.optics.s.2015040101.11},
  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.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Fault Diagnosis of Three-Phase Induction Motor: A Review
AU  - Malik Abadulrazzaq Alsaedi
Y1  - 2014/11/29
PY  - 2014
N1  - https://doi.org/10.11648/j.optics.s.2015040101.11
DO  - 10.11648/j.optics.s.2015040101.11
T2  - Optics
JF  - Optics
JO  - Optics
SP  - 1
EP  - 8
PB  - Science Publishing Group
SN  - 2328-7810
UR  - https://doi.org/10.11648/j.optics.s.2015040101.11
AB  - 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.
VL  - 4
IS  - 1-1
ER  -

Copy | Download