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).
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
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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 -