TY - GEN
T1 - Detection and classification of rotor demagnetization and eccentricity faults for PM synchronous motors
AU - Hong, Jongman
AU - Hyun, Doosoo
AU - Kang, Tae June
AU - Lee, Sang Bin
AU - Kral, Christian
AU - Haumer, Anton
PY - 2011
Y1 - 2011
N2 - Condition monitoring of rotor problems such as demagnetization and eccentricity in permanent magnet synchronous motors (PMSM) is essential for guaranteeing high motor performance, efficiency, and reliability. However, there are many limitations to the off-line and on-line methods currently used for PMSM rotor quality assessment. In this paper, an inverter-embedded technique for automated detection and classification of PMSM rotor faults is proposed as an alternative. The main concept is to use the inverter to perform a test whenever the motor is stopped, to detect rotor faults independent of operating conditions or load torque oscillations, which is not possible with motor current signature analysis (MCSA). The d-axis is excited with a dc+ac signal, and the variation in the inductance pattern due to the change in the degree of magnetic saturation caused by demagnetization or eccentricity is observed for fault detection. An experimental study on a 7.5kW PMSM verifies that demagnetization and eccentricity can be detected and classified independent of the load with high sensitivity.
AB - Condition monitoring of rotor problems such as demagnetization and eccentricity in permanent magnet synchronous motors (PMSM) is essential for guaranteeing high motor performance, efficiency, and reliability. However, there are many limitations to the off-line and on-line methods currently used for PMSM rotor quality assessment. In this paper, an inverter-embedded technique for automated detection and classification of PMSM rotor faults is proposed as an alternative. The main concept is to use the inverter to perform a test whenever the motor is stopped, to detect rotor faults independent of operating conditions or load torque oscillations, which is not possible with motor current signature analysis (MCSA). The d-axis is excited with a dc+ac signal, and the variation in the inductance pattern due to the change in the degree of magnetic saturation caused by demagnetization or eccentricity is observed for fault detection. An experimental study on a 7.5kW PMSM verifies that demagnetization and eccentricity can be detected and classified independent of the load with high sensitivity.
KW - AC Machine
KW - Condition Monitoring
KW - Demagnetization
KW - Eccentricity
KW - Magnetic Saturation
KW - Permanent Magnet (PM)
KW - Synchronous Motor (SM)
KW - d-axis Inductance
UR - http://www.scopus.com/inward/record.url?scp=81855173595&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2011.6064103
DO - 10.1109/ECCE.2011.6064103
M3 - Conference contribution
AN - SCOPUS:81855173595
SN - 9781457705427
T3 - IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings
SP - 2512
EP - 2519
BT - IEEE Energy Conversion Congress and Exposition
T2 - 3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011
Y2 - 17 September 2011 through 22 September 2011
ER -
