TY - JOUR
T1 - Detection and classification of stator turn faults and high-resistance electrical connections for induction machines
AU - Yun, Jangho
AU - Lee, Kwanghwan
AU - Lee, Kwang Woon
AU - Lee, Sang Bin
AU - Yoo, Ji Yoon
N1 - 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.
PY - 2009
Y1 - 2009
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.
KW - AC electric machines
KW - Condition monitoring
KW - Diagnostics
KW - Electrical-distribution system
KW - High-resistance (R) connection (HRC)
KW - Induction machine
KW - Interturn insulation failure
KW - Symmetrical components
KW - Turn fault (TF)
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U2 - 10.1109/TIA.2009.2013557
DO - 10.1109/TIA.2009.2013557
M3 - Article
AN - SCOPUS:64049101384
VL - 45
SP - 666
EP - 675
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
SN - 0093-9994
IS - 2
ER -