Detection of induction motors faults using instantaneous phase variation

A. F Saleh Alshandoli, F. Gu, A. D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper presents a new method for detecting the most common faults of squirrel cage induction motor; namely broken rotor bars, voltage imbalance and rotor misalignment. The proposed method uses Hilbert transform to determine the current instantaneous phase variation (IPV) based on only one current phase instead of the three-phase method. The number of used channels was greatly reduced to the sixth while the results are in good agreement with that obtained using the three-phase method. Experimental results show good detection capability especially at full load conditions. In addition, a comparative study has also been made between the single-phase and the three-phase method.

LanguageEnglish
Title of host publicationProceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2004
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages715-721
Number of pages7
Volume3
ISBN (Print)0791841731, 9780791841730, 0791841758
DOIs
Publication statusPublished - 30 Sep 2004
Externally publishedYes
Event7th Biennial Conference on Engineering Systems Design and Analysis - Manchester, United Kingdom
Duration: 19 Jul 200422 Jul 2004
Conference number: 7

Conference

Conference7th Biennial Conference on Engineering Systems Design and Analysis
CountryUnited Kingdom
CityManchester
Period19/07/0422/07/04

Fingerprint

Induction motors
Rotors
Squirrel cage motors
Electric potential

Cite this

Alshandoli, A. F. S., Gu, F., & Ball, A. D. (2004). Detection of induction motors faults using instantaneous phase variation. In Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2004 (Vol. 3, pp. 715-721). [ESDA2004-58207] American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/ESDA2004-58207
Alshandoli, A. F Saleh ; Gu, F. ; Ball, A. D. / Detection of induction motors faults using instantaneous phase variation. Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2004. Vol. 3 American Society of Mechanical Engineers (ASME), 2004. pp. 715-721
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title = "Detection of induction motors faults using instantaneous phase variation",
abstract = "This paper presents a new method for detecting the most common faults of squirrel cage induction motor; namely broken rotor bars, voltage imbalance and rotor misalignment. The proposed method uses Hilbert transform to determine the current instantaneous phase variation (IPV) based on only one current phase instead of the three-phase method. The number of used channels was greatly reduced to the sixth while the results are in good agreement with that obtained using the three-phase method. Experimental results show good detection capability especially at full load conditions. In addition, a comparative study has also been made between the single-phase and the three-phase method.",
keywords = "Broken rotor bar, Condition monitoring, Induction motor, Instantaneous phase, Misalignment, Phase imbalance",
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Alshandoli, AFS, Gu, F & Ball, AD 2004, Detection of induction motors faults using instantaneous phase variation. in Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2004. vol. 3, ESDA2004-58207, American Society of Mechanical Engineers (ASME), pp. 715-721, 7th Biennial Conference on Engineering Systems Design and Analysis, Manchester, United Kingdom, 19/07/04. https://doi.org/10.1115/ESDA2004-58207

Detection of induction motors faults using instantaneous phase variation. / Alshandoli, A. F Saleh; Gu, F.; Ball, A. D.

Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2004. Vol. 3 American Society of Mechanical Engineers (ASME), 2004. p. 715-721 ESDA2004-58207.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Detection of induction motors faults using instantaneous phase variation

AU - Alshandoli, A. F Saleh

AU - Gu, F.

AU - Ball, A. D.

PY - 2004/9/30

Y1 - 2004/9/30

N2 - This paper presents a new method for detecting the most common faults of squirrel cage induction motor; namely broken rotor bars, voltage imbalance and rotor misalignment. The proposed method uses Hilbert transform to determine the current instantaneous phase variation (IPV) based on only one current phase instead of the three-phase method. The number of used channels was greatly reduced to the sixth while the results are in good agreement with that obtained using the three-phase method. Experimental results show good detection capability especially at full load conditions. In addition, a comparative study has also been made between the single-phase and the three-phase method.

AB - This paper presents a new method for detecting the most common faults of squirrel cage induction motor; namely broken rotor bars, voltage imbalance and rotor misalignment. The proposed method uses Hilbert transform to determine the current instantaneous phase variation (IPV) based on only one current phase instead of the three-phase method. The number of used channels was greatly reduced to the sixth while the results are in good agreement with that obtained using the three-phase method. Experimental results show good detection capability especially at full load conditions. In addition, a comparative study has also been made between the single-phase and the three-phase method.

KW - Broken rotor bar

KW - Condition monitoring

KW - Induction motor

KW - Instantaneous phase

KW - Misalignment

KW - Phase imbalance

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BT - Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2004

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Alshandoli AFS, Gu F, Ball AD. Detection of induction motors faults using instantaneous phase variation. In Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2004. Vol. 3. American Society of Mechanical Engineers (ASME). 2004. p. 715-721. ESDA2004-58207 https://doi.org/10.1115/ESDA2004-58207