A comparison of different techniques for induction motor rotor fault diagnosis

A. Alwodai, F. Gu, A. D. Ball

Research output: Contribution to journalConference article

20 Citations (Scopus)

Abstract

The problem of failures in induction motors is a large concern due to its significant influence over industrial production. Therefore a large number of detection techniques were presented to avoid this problem. This paper presents the comparison results of induction motor rotor fault detection using three methods: motor current signature analysis (MCSA), surface vibration (SV), and instantaneous angular speed (IAS). These three measurements were performed under different loads with three rotor conditions: baseline, one rotor bar broken and two rotor bar broken. The faults can be detected and diagnosed based on the amplitude difference of the characteristic frequency components of power spectrum. However IAS may be the best technique because it gives the clearest spectrum representation in which the largest amplitude change is observed due to the faults.

LanguageEnglish
Article number012066
JournalJournal of Physics: Conference Series
Volume364
Issue number1
DOIs
Publication statusPublished - 2012
Event25th International Congress on Condition Monitoring and Diagnostic Engineering: Sustained Prosperity through Proactive Monitoring, Diagnosis and Management - University of Huddersfield, Huddersfield, United Kingdom
Duration: 18 Jun 201220 Jun 2012
Conference number: 25
http://compeng.hud.ac.uk/comadem2012/ (Link to Conference Website )

Fingerprint

induction motors
rotors
signature analysis
fault detection
power spectra
vibration

Cite this

@article{12e36cb3983e406eb454b3d1879065e8,
title = "A comparison of different techniques for induction motor rotor fault diagnosis",
abstract = "The problem of failures in induction motors is a large concern due to its significant influence over industrial production. Therefore a large number of detection techniques were presented to avoid this problem. This paper presents the comparison results of induction motor rotor fault detection using three methods: motor current signature analysis (MCSA), surface vibration (SV), and instantaneous angular speed (IAS). These three measurements were performed under different loads with three rotor conditions: baseline, one rotor bar broken and two rotor bar broken. The faults can be detected and diagnosed based on the amplitude difference of the characteristic frequency components of power spectrum. However IAS may be the best technique because it gives the clearest spectrum representation in which the largest amplitude change is observed due to the faults.",
keywords = "Broken bar, Induction motor, Instantaneous angular speed (IAS), Motor current signature analysis, Power spectrum, Vibration",
author = "A. Alwodai and F. Gu and Ball, {A. D.}",
year = "2012",
doi = "10.1088/1742-6596/364/1/012066",
language = "English",
volume = "364",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

A comparison of different techniques for induction motor rotor fault diagnosis. / Alwodai, A.; Gu, F.; Ball, A. D.

In: Journal of Physics: Conference Series, Vol. 364, No. 1, 012066, 2012.

Research output: Contribution to journalConference article

TY - JOUR

T1 - A comparison of different techniques for induction motor rotor fault diagnosis

AU - Alwodai, A.

AU - Gu, F.

AU - Ball, A. D.

PY - 2012

Y1 - 2012

N2 - The problem of failures in induction motors is a large concern due to its significant influence over industrial production. Therefore a large number of detection techniques were presented to avoid this problem. This paper presents the comparison results of induction motor rotor fault detection using three methods: motor current signature analysis (MCSA), surface vibration (SV), and instantaneous angular speed (IAS). These three measurements were performed under different loads with three rotor conditions: baseline, one rotor bar broken and two rotor bar broken. The faults can be detected and diagnosed based on the amplitude difference of the characteristic frequency components of power spectrum. However IAS may be the best technique because it gives the clearest spectrum representation in which the largest amplitude change is observed due to the faults.

AB - The problem of failures in induction motors is a large concern due to its significant influence over industrial production. Therefore a large number of detection techniques were presented to avoid this problem. This paper presents the comparison results of induction motor rotor fault detection using three methods: motor current signature analysis (MCSA), surface vibration (SV), and instantaneous angular speed (IAS). These three measurements were performed under different loads with three rotor conditions: baseline, one rotor bar broken and two rotor bar broken. The faults can be detected and diagnosed based on the amplitude difference of the characteristic frequency components of power spectrum. However IAS may be the best technique because it gives the clearest spectrum representation in which the largest amplitude change is observed due to the faults.

KW - Broken bar

KW - Induction motor

KW - Instantaneous angular speed (IAS)

KW - Motor current signature analysis

KW - Power spectrum

KW - Vibration

UR - http://www.scopus.com/inward/record.url?scp=84862304835&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/364/1/012066

DO - 10.1088/1742-6596/364/1/012066

M3 - Conference article

VL - 364

JO - Journal of Physics: Conference Series

T2 - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012066

ER -