Stray flux monitoring for reliable detection of rotor faults under the influence of rotor axial air ducts

Yonghyun Park; Chanseung Yang; Jongwan Kim; Heonyoung Kim; Sang Bin Lee; Konstantinos N. Gyftakis; Panagiotis A. Panagiotou; Shahin Hedayati Kia; Gerard Andre Capolino

doi:10.1109/TIE.2018.2880670

Stray flux monitoring for reliable detection of rotor faults under the influence of rotor axial air ducts

Yonghyun Park, Chanseung Yang, Jongwan Kim, Heonyoung Kim, Sang Bin Lee, Konstantinos N. Gyftakis, Panagiotis A. Panagiotou, Shahin Hedayati Kia, Gerard Andre Capolino

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

Abstract

Monitoring of induction motor faults based on stray flux measurement has been investigated by many researchers due to its potential benefits in cost and simplicity. Although it was shown that flux-based monitoring can provide sensitive fault detection comparable to that of motor current signature analysis, the lack of 'remote' monitoring capability has limited its practical use. The performance and reliability of stray flux-based detection of induction motor rotor cage faults are evaluated in this paper. It is shown for the first time in this work that the spectrum analysis of the radial stray flux can provide reliable detection of rotor faults immune to the influence of rotor axial air ducts, which is the most common cause of false rotor fault alarms. The reliability and sensitivity of stray flux-based rotor fault detection are demonstrated through experimental testing on laboratory and 6.6 kV field motors.

Original language	English
Article number	8541132
Pages (from-to)	7561-7570
Number of pages	10
Journal	IEEE Transactions on Industrial Electronics
Volume	66
Issue number	10
DOIs	https://doi.org/10.1109/TIE.2018.2880670
Publication status	Published - 2019 Oct

Keywords

Electrical fault detection
false alarms
fault diagnosis
flux signature analysis
induction motor
motor current signature analysis (MCSA)
rotor fault
spectral analysis
stray flux

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/TIE.2018.2880670

Cite this

Stray flux monitoring for reliable detection of rotor faults under the influence of rotor axial air ducts. / Park, Yonghyun; Yang, Chanseung; Kim, Jongwan; Kim, Heonyoung; Lee, Sang Bin; Gyftakis, Konstantinos N.; Panagiotou, Panagiotis A.; Kia, Shahin Hedayati; Capolino, Gerard Andre.

In: IEEE Transactions on Industrial Electronics, Vol. 66, No. 10, 8541132, 10.2019, p. 7561-7570.

Research output: Contribution to journal › Article › peer-review

Park, Yonghyun ; Yang, Chanseung ; Kim, Jongwan ; Kim, Heonyoung ; Lee, Sang Bin ; Gyftakis, Konstantinos N. ; Panagiotou, Panagiotis A. ; Kia, Shahin Hedayati ; Capolino, Gerard Andre. / Stray flux monitoring for reliable detection of rotor faults under the influence of rotor axial air ducts. In: IEEE Transactions on Industrial Electronics. 2019 ; Vol. 66, No. 10. pp. 7561-7570.

@article{dcf6dee4c8ed43efa2948d3cd41b15ed,

title = "Stray flux monitoring for reliable detection of rotor faults under the influence of rotor axial air ducts",

abstract = "Monitoring of induction motor faults based on stray flux measurement has been investigated by many researchers due to its potential benefits in cost and simplicity. Although it was shown that flux-based monitoring can provide sensitive fault detection comparable to that of motor current signature analysis, the lack of 'remote' monitoring capability has limited its practical use. The performance and reliability of stray flux-based detection of induction motor rotor cage faults are evaluated in this paper. It is shown for the first time in this work that the spectrum analysis of the radial stray flux can provide reliable detection of rotor faults immune to the influence of rotor axial air ducts, which is the most common cause of false rotor fault alarms. The reliability and sensitivity of stray flux-based rotor fault detection are demonstrated through experimental testing on laboratory and 6.6 kV field motors.",

keywords = "Electrical fault detection, false alarms, fault diagnosis, flux signature analysis, induction motor, motor current signature analysis (MCSA), rotor fault, spectral analysis, stray flux",

author = "Yonghyun Park and Chanseung Yang and Jongwan Kim and Heonyoung Kim and Lee, {Sang Bin} and Gyftakis, {Konstantinos N.} and Panagiotou, {Panagiotis A.} and Kia, {Shahin Hedayati} and Capolino, {Gerard Andre}",

note = "Funding Information: Manuscript received June 15, 2018; revised September 5, 2018; accepted October 18, 2018. Date of publication November 20, 2018; date of current version May 31, 2019. This work was supported by the Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning granted financial resources from the Ministry of Trade, Industry, and Energy, Republic of Korea, under Grant 20154030200610. (Corresponding author: Sang Bin Lee.) Y. Park, C. Yang, and S. B. Lee are with Korea University, Seoul 02841, South Korea (e-mail:, yonghyun.park@eecs.korea.ac.kr; chanseung.yang@eecs.korea.ac.kr; sangbinlee@korea.ac.kr). Publisher Copyright: {\textcopyright} 1982-2012 IEEE.",

year = "2019",

month = oct,

doi = "10.1109/TIE.2018.2880670",

language = "English",

volume = "66",

pages = "7561--7570",

journal = "IEEE Transactions on Industrial Electronics",

issn = "0278-0046",

publisher = "IEEE Industrial Electronics Society",

number = "10",

}

TY - JOUR

T1 - Stray flux monitoring for reliable detection of rotor faults under the influence of rotor axial air ducts

AU - Park, Yonghyun

AU - Yang, Chanseung

AU - Kim, Jongwan

AU - Kim, Heonyoung

AU - Lee, Sang Bin

AU - Gyftakis, Konstantinos N.

AU - Panagiotou, Panagiotis A.

AU - Kia, Shahin Hedayati

AU - Capolino, Gerard Andre

N1 - Funding Information: Manuscript received June 15, 2018; revised September 5, 2018; accepted October 18, 2018. Date of publication November 20, 2018; date of current version May 31, 2019. This work was supported by the Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning granted financial resources from the Ministry of Trade, Industry, and Energy, Republic of Korea, under Grant 20154030200610. (Corresponding author: Sang Bin Lee.) Y. Park, C. Yang, and S. B. Lee are with Korea University, Seoul 02841, South Korea (e-mail:, yonghyun.park@eecs.korea.ac.kr; chanseung.yang@eecs.korea.ac.kr; sangbinlee@korea.ac.kr). Publisher Copyright: © 1982-2012 IEEE.

PY - 2019/10

Y1 - 2019/10

N2 - Monitoring of induction motor faults based on stray flux measurement has been investigated by many researchers due to its potential benefits in cost and simplicity. Although it was shown that flux-based monitoring can provide sensitive fault detection comparable to that of motor current signature analysis, the lack of 'remote' monitoring capability has limited its practical use. The performance and reliability of stray flux-based detection of induction motor rotor cage faults are evaluated in this paper. It is shown for the first time in this work that the spectrum analysis of the radial stray flux can provide reliable detection of rotor faults immune to the influence of rotor axial air ducts, which is the most common cause of false rotor fault alarms. The reliability and sensitivity of stray flux-based rotor fault detection are demonstrated through experimental testing on laboratory and 6.6 kV field motors.

AB - Monitoring of induction motor faults based on stray flux measurement has been investigated by many researchers due to its potential benefits in cost and simplicity. Although it was shown that flux-based monitoring can provide sensitive fault detection comparable to that of motor current signature analysis, the lack of 'remote' monitoring capability has limited its practical use. The performance and reliability of stray flux-based detection of induction motor rotor cage faults are evaluated in this paper. It is shown for the first time in this work that the spectrum analysis of the radial stray flux can provide reliable detection of rotor faults immune to the influence of rotor axial air ducts, which is the most common cause of false rotor fault alarms. The reliability and sensitivity of stray flux-based rotor fault detection are demonstrated through experimental testing on laboratory and 6.6 kV field motors.

KW - Electrical fault detection

KW - false alarms

KW - fault diagnosis

KW - flux signature analysis

KW - induction motor

KW - motor current signature analysis (MCSA)

KW - rotor fault

KW - spectral analysis

KW - stray flux

UR - http://www.scopus.com/inward/record.url?scp=85057161718&partnerID=8YFLogxK

U2 - 10.1109/TIE.2018.2880670

DO - 10.1109/TIE.2018.2880670

M3 - Article

AN - SCOPUS:85057161718

VL - 66

SP - 7561

EP - 7570

JO - IEEE Transactions on Industrial Electronics

JF - IEEE Transactions on Industrial Electronics

SN - 0278-0046

IS - 10

M1 - 8541132

ER -

Stray flux monitoring for reliable detection of rotor faults under the influence of rotor axial air ducts

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this