TY - GEN
T1 - Detection and classification of stator turn faults and high resistance electrical connections for induction machines
AU - Yun, Jangho
AU - Lee, Kwanghwan
AU - Lee, Kwangwoon
AU - Lee, Sang Bin
AU - Yoo, Jiyoon
PY - 2007
Y1 - 2007
N2 - The goal of stator winding turn fault 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 turn fault detection techniques have been proposed; however, there is currently no method available for distinguishing turn faults from high-resistance(R) connections, which also result in 3 phase system asymmetry. It is important to distinguish the two faults since a high-R connection does not necessarily require immediate motor shutdown. In this paper, new sensorless on-line monitoring techniques for detecting and classifying stator turn faults 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 turn faults and high-resistance 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 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 turn fault detection techniques have been proposed; however, there is currently no method available for distinguishing turn faults from high-resistance(R) connections, which also result in 3 phase system asymmetry. It is important to distinguish the two faults since a high-R connection does not necessarily require immediate motor shutdown. In this paper, new sensorless on-line monitoring techniques for detecting and classifying stator turn faults 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 turn faults and high-resistance 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 connection
KW - Induction machine
KW - Inter-turn insulation failure
KW - Symmetrical components
KW - Turn fault
UR - http://www.scopus.com/inward/record.url?scp=47849116670&partnerID=8YFLogxK
U2 - 10.1109/IAS.2007.293
DO - 10.1109/IAS.2007.293
M3 - Conference contribution
AN - SCOPUS:47849116670
SN - 1424403642
SN - 9781424403646
T3 - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
SP - 1923
EP - 1931
BT - Conference Record of the 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS
T2 - 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS
Y2 - 23 September 2007 through 27 September 2007
ER -