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 (MCSA), 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 is evaluated in this paper. It is shown for the first time in this work that 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 is demonstrated through experimental testing on laboratory and 6.6 kV field motors.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Industrial Electronics |
| DOIs | |
| Publication status | Accepted/In press - 2018 Jan 1 |
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Keywords
- Ducts
- Electrical Fault Detection
- False Alarms
- Fault detection
- Fault Diagnosis
- Flux Signature Analysis
- Induction Motor
- Induction motors
- Monitoring
- Motor Current Signature Analysis (MCSA)
- Reliability
- Rotor Fault
- Rotors
- Spectral Analysis
- Stators
- Stray flux
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
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.N.; Panagiotou, Panagiotis; Hedayati Kia, Shahin; Capolino, Gerard Andre.
In: IEEE Transactions on Industrial Electronics, 01.01.2018.Research output: Contribution to journal › Article
}
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.N.
AU - Panagiotou, Panagiotis
AU - Hedayati Kia, Shahin
AU - Capolino, Gerard Andre
PY - 2018/1/1
Y1 - 2018/1/1
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 (MCSA), 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 is evaluated in this paper. It is shown for the first time in this work that 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 is 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 (MCSA), 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 is evaluated in this paper. It is shown for the first time in this work that 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 is demonstrated through experimental testing on laboratory and 6.6 kV field motors.
KW - Ducts
KW - Electrical Fault Detection
KW - False Alarms
KW - Fault detection
KW - Fault Diagnosis
KW - Flux Signature Analysis
KW - Induction Motor
KW - Induction motors
KW - Monitoring
KW - Motor Current Signature Analysis (MCSA)
KW - Reliability
KW - Rotor Fault
KW - Rotors
KW - Spectral Analysis
KW - Stators
KW - Stray flux
UR - http://www.scopus.com/inward/record.url?scp=85057161718&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85057161718&partnerID=8YFLogxK
U2 - 10.1109/TIE.2018.2880670
DO - 10.1109/TIE.2018.2880670
M3 - Article
AN - SCOPUS:85057161718
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
SN - 0278-0046
ER -