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.N. Gyftakis; Panagiotis 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.N. Gyftakis, Panagiotis Panagiotou, Shahin Hedayati Kia, Gerard Andre Capolino

School of Electrical Engineering

Research output: Contribution to journal › Article

8 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 (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	https://doi.org/10.1109/TIE.2018.2880670
Publication status	Accepted/In press - 2018 Jan 1

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

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Park, Y., Yang, C., Kim, J., Kim, H., Lee, S. B., Gyftakis, K. N. N., Panagiotou, P., Hedayati Kia, S., & Capolino, G. A. (Accepted/In press). Stray Flux Monitoring for Reliable Detection of Rotor Faults under the Influence of Rotor Axial Air Ducts. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/TIE.2018.2880670

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

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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 (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.",

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",

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

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AU - Kim, Heonyoung

AU - Lee, Sang Bin

AU - Gyftakis, Konstantinos N.N.

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KW - Motor Current Signature Analysis (MCSA)

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KW - Spectral Analysis

KW - Stators

KW - Stray flux

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