A survey of methods for detection of stator-related faults in induction machines

Rangarajan M. Tallam; Sang Bin Lee; Greg C. Stone; Gerald B. Kliman; Jiyoon Yoo; Thomas G. Habetler; Ronald G. Harley

doi:10.1109/TIA.2007.900448

A survey of methods for detection of stator-related faults in induction machines

Rangarajan M. Tallam, Sang Bin Lee, Greg C. Stone, Gerald B. Kliman, Jiyoon Yoo, Thomas G. Habetler, Ronald G. Harley

School of Electrical Engineering

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

242 Citations (Scopus)

Abstract

As evidenced by industrial surveys, stator-related failures account for a large percentage of faults in induction machines. The objective of this paper is to provide a survey of existing techniques for detection of stator-related faults, which include stator winding turn faults, stator core faults, temperature monitoring and thermal protection, and stator winding insulation testing. The root causes of fault inception, available techniques for detection, and recommendations for further research are presented. Although the primary focus is online and sensorless methods that use machine voltages and currents to extract fault signatures, offline techniques such as partial discharge detection are also examined.

Original language	English
Pages (from-to)	920-933
Number of pages	14
Journal	IEEE Transactions on Industry Applications
Volume	43
Issue number	4
DOIs	https://doi.org/10.1109/TIA.2007.900448
Publication status	Published - 2007 Jul

Keywords

Condition monitoring
Fault diagnostics
Insulation testing
Interlaminar core faults
Partial discharge (PD)
Temperature monitoring
Turn faults

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1109/TIA.2007.900448

Cite this

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title = "A survey of methods for detection of stator-related faults in induction machines",

abstract = "As evidenced by industrial surveys, stator-related failures account for a large percentage of faults in induction machines. The objective of this paper is to provide a survey of existing techniques for detection of stator-related faults, which include stator winding turn faults, stator core faults, temperature monitoring and thermal protection, and stator winding insulation testing. The root causes of fault inception, available techniques for detection, and recommendations for further research are presented. Although the primary focus is online and sensorless methods that use machine voltages and currents to extract fault signatures, offline techniques such as partial discharge detection are also examined.",

keywords = "Condition monitoring, Fault diagnostics, Insulation testing, Interlaminar core faults, Partial discharge (PD), Temperature monitoring, Turn faults",

author = "Tallam, {Rangarajan M.} and Lee, {Sang Bin} and Stone, {Greg C.} and Kliman, {Gerald B.} and Jiyoon Yoo and Habetler, {Thomas G.} and Harley, {Ronald G.}",

note = "Funding Information: Paper IPCSD-07-006, presented at the 2003 IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, Stone Mountain, GA, August 24–26, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Electric Machines Committee of the IEEE Industry Applications Society. Manuscript submitted for review March 2004 and released for publication February 3, 2007. The work of S. B. Lee and J. Yoo was supported by the Ministry of Commerce, Industry, and Energy (MOCIE) through the Electrical Industry Research Center (EIRC) program with the Advanced Power Systems Research Center at Korea University.",

year = "2007",

month = jul,

doi = "10.1109/TIA.2007.900448",

language = "English",

volume = "43",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Lee, Sang Bin

AU - Stone, Greg C.

AU - Kliman, Gerald B.

AU - Yoo, Jiyoon

AU - Habetler, Thomas G.

AU - Harley, Ronald G.

N1 - Funding Information: Paper IPCSD-07-006, presented at the 2003 IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, Stone Mountain, GA, August 24–26, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Electric Machines Committee of the IEEE Industry Applications Society. Manuscript submitted for review March 2004 and released for publication February 3, 2007. The work of S. B. Lee and J. Yoo was supported by the Ministry of Commerce, Industry, and Energy (MOCIE) through the Electrical Industry Research Center (EIRC) program with the Advanced Power Systems Research Center at Korea University.

PY - 2007/7

Y1 - 2007/7

N2 - As evidenced by industrial surveys, stator-related failures account for a large percentage of faults in induction machines. The objective of this paper is to provide a survey of existing techniques for detection of stator-related faults, which include stator winding turn faults, stator core faults, temperature monitoring and thermal protection, and stator winding insulation testing. The root causes of fault inception, available techniques for detection, and recommendations for further research are presented. Although the primary focus is online and sensorless methods that use machine voltages and currents to extract fault signatures, offline techniques such as partial discharge detection are also examined.

AB - As evidenced by industrial surveys, stator-related failures account for a large percentage of faults in induction machines. The objective of this paper is to provide a survey of existing techniques for detection of stator-related faults, which include stator winding turn faults, stator core faults, temperature monitoring and thermal protection, and stator winding insulation testing. The root causes of fault inception, available techniques for detection, and recommendations for further research are presented. Although the primary focus is online and sensorless methods that use machine voltages and currents to extract fault signatures, offline techniques such as partial discharge detection are also examined.

KW - Condition monitoring

KW - Fault diagnostics

KW - Insulation testing

KW - Interlaminar core faults

KW - Partial discharge (PD)

KW - Temperature monitoring

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A survey of methods for detection of stator-related faults in induction machines

Abstract

Keywords

ASJC Scopus subject areas

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