Detection of induction motors faults using instantaneous phase variation

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

doi:10.1115/ESDA2004-58207

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 proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2004
Publisher	American Society of Mechanical Engineers (ASME)
Pages	715-721
Number of pages	7
Volume	3
ISBN (Print)	0791841731, 9780791841730, 0791841758
DOIs	https://doi.org/10.1115/ESDA2004-58207
Publication status	Published - 30 Sep 2004
Externally published	Yes
Event	7th Biennial Conference on Engineering Systems Design and Analysis - Manchester, United Kingdom Duration: 19 Jul 2004 → 22 Jul 2004 Conference number: 7

Conference

Conference	7th Biennial Conference on Engineering Systems Design and Analysis
Country/Territory	United Kingdom
City	Manchester
Period	19/07/04 → 22/07/04

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Cite this

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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",

author = "Alshandoli, {A. F Saleh} and F. Gu and Ball, {A. D.}",

year = "2004",

month = sep,

day = "30",

doi = "10.1115/ESDA2004-58207",

language = "English",

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pages = "715--721",

booktitle = "Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2004",

publisher = "American Society of Mechanical Engineers (ASME)",

address = "United States",

note = "7th Biennial Conference on Engineering Systems Design and Analysis ; Conference date: 19-07-2004 Through 22-07-2004",

}

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 proceeding › Conference contribution › peer-review

TY - GEN

T1 - Detection of induction motors faults using instantaneous phase variation

AU - Alshandoli, A. F Saleh

AU - Gu, F.

AU - Ball, A. D.

N1 - Conference code: 7

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

UR - http://www.scopus.com/inward/record.url?scp=8844287697&partnerID=8YFLogxK

U2 - 10.1115/ESDA2004-58207

DO - 10.1115/ESDA2004-58207

M3 - Conference contribution

AN - SCOPUS:8844287697

SN - 0791841731

SN - 9780791841730

SN - 0791841758

VL - 3

SP - 715

EP - 721

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

PB - American Society of Mechanical Engineers (ASME)

T2 - 7th Biennial Conference on Engineering Systems Design and Analysis

Y2 - 19 July 2004 through 22 July 2004

ER -

Detection of induction motors faults using instantaneous phase variation

Abstract

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