Detection and classification of stator turn faults and high-resistance electrical connections for induction machines

Jangho Yun; Kwanghwan Lee; Kwang Woon Lee; Sang Bin Lee; Ji Yoon Yoo

doi:10.1109/TIA.2009.2013557

Detection and classification of stator turn faults and high-resistance electrical connections for induction machines

Jangho Yun, Kwanghwan Lee, Kwang Woon Lee, Sang Bin Lee, Ji Yoon Yoo

School of Electrical Engineering

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

122 Citations (Scopus)

Abstract

The goal of stator-winding turn-fault (TF) detection is to detect the fault at an early stage and shut down the machine immediately to prevent catastrophic motor failure due to the large fault current. A number of TF detection techniques have been proposed; however, there is currently no method available for distinguishing TFs from high-resistance (R) connections (HRCs), which also result in three-phase system asymmetry. It is important to distinguish the two faults, since an HRC does not necessarily require immediate motor shutdown. In this paper, new sensorless online monitoring techniques for detecting and classifying stator TFs and high-R electrical connections in induction machines based on the zero-sequence voltage or negative-sequence current measurements are proposed. An experimental study on a 10-hp induction motor performed under simulated TFs and high-R circuit conditions verifies that the two faults can be reliably detected and classified. The proposed technique helps improve the reliability, efficiency, and safety of the motor system and industrial plant and also allows maintenance to be performed in a more efficient manner, since the course of action can be determined based on the type and severity of the fault.

Original language	English
Pages (from-to)	666-675
Number of pages	10
Journal	IEEE Transactions on Industry Applications
Volume	45
Issue number	2
DOIs	https://doi.org/10.1109/TIA.2009.2013557
Publication status	Published - 2009

Bibliographical note

Funding Information:
Paper IPCSD-08-50, presented at the 2007 Industry Applications Society Annual Meeting, New Orleans, LA, September 23–27, 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 October 1, 2007 and released for publication June 11, 2008. Current version published March 18, 2009. This work 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.

Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.

Keywords

AC electric machines
Condition monitoring
Diagnostics
Electrical-distribution system
High-resistance (R) connection (HRC)
Induction machine
Interturn insulation failure
Symmetrical components
Turn fault (TF)

ASJC Scopus subject areas

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

Access to Document

10.1109/TIA.2009.2013557

Cite this

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title = "Detection and classification of stator turn faults and high-resistance electrical connections for induction machines",

abstract = "The goal of stator-winding turn-fault (TF) detection is to detect the fault at an early stage and shut down the machine immediately to prevent catastrophic motor failure due to the large fault current. A number of TF detection techniques have been proposed; however, there is currently no method available for distinguishing TFs from high-resistance (R) connections (HRCs), which also result in three-phase system asymmetry. It is important to distinguish the two faults, since an HRC does not necessarily require immediate motor shutdown. In this paper, new sensorless online monitoring techniques for detecting and classifying stator TFs and high-R electrical connections in induction machines based on the zero-sequence voltage or negative-sequence current measurements are proposed. An experimental study on a 10-hp induction motor performed under simulated TFs and high-R circuit conditions verifies that the two faults can be reliably detected and classified. The proposed technique helps improve the reliability, efficiency, and safety of the motor system and industrial plant and also allows maintenance to be performed in a more efficient manner, since the course of action can be determined based on the type and severity of the fault.",

keywords = "AC electric machines, Condition monitoring, Diagnostics, Electrical-distribution system, High-resistance (R) connection (HRC), Induction machine, Interturn insulation failure, Symmetrical components, Turn fault (TF)",

author = "Jangho Yun and Kwanghwan Lee and Lee, {Kwang Woon} and Lee, {Sang Bin} and Yoo, {Ji Yoon}",

note = "Funding Information: Paper IPCSD-08-50, presented at the 2007 Industry Applications Society Annual Meeting, New Orleans, LA, September 23–27, 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 October 1, 2007 and released for publication June 11, 2008. Current version published March 18, 2009. This work 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. Copyright: Copyright 2009 Elsevier B.V., All rights reserved.",

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N2 - The goal of stator-winding turn-fault (TF) detection is to detect the fault at an early stage and shut down the machine immediately to prevent catastrophic motor failure due to the large fault current. A number of TF detection techniques have been proposed; however, there is currently no method available for distinguishing TFs from high-resistance (R) connections (HRCs), which also result in three-phase system asymmetry. It is important to distinguish the two faults, since an HRC does not necessarily require immediate motor shutdown. In this paper, new sensorless online monitoring techniques for detecting and classifying stator TFs and high-R electrical connections in induction machines based on the zero-sequence voltage or negative-sequence current measurements are proposed. An experimental study on a 10-hp induction motor performed under simulated TFs and high-R circuit conditions verifies that the two faults can be reliably detected and classified. The proposed technique helps improve the reliability, efficiency, and safety of the motor system and industrial plant and also allows maintenance to be performed in a more efficient manner, since the course of action can be determined based on the type and severity of the fault.

AB - The goal of stator-winding turn-fault (TF) detection is to detect the fault at an early stage and shut down the machine immediately to prevent catastrophic motor failure due to the large fault current. A number of TF detection techniques have been proposed; however, there is currently no method available for distinguishing TFs from high-resistance (R) connections (HRCs), which also result in three-phase system asymmetry. It is important to distinguish the two faults, since an HRC does not necessarily require immediate motor shutdown. In this paper, new sensorless online monitoring techniques for detecting and classifying stator TFs and high-R electrical connections in induction machines based on the zero-sequence voltage or negative-sequence current measurements are proposed. An experimental study on a 10-hp induction motor performed under simulated TFs and high-R circuit conditions verifies that the two faults can be reliably detected and classified. The proposed technique helps improve the reliability, efficiency, and safety of the motor system and industrial plant and also allows maintenance to be performed in a more efficient manner, since the course of action can be determined based on the type and severity of the fault.

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Detection and classification of stator turn faults and high-resistance electrical connections for induction machines

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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