TY - JOUR
T1 - Detection and Classification of Rotor Demagnetization and Eccentricity Faults for PM Synchronous Motors
AU - Jongman, Hong
AU - Sanguk, Parl
AU - Doosoo, Hyun
AU - Tae-June, Kang
AU - Bin Lee, Sang
AU - Kral, Christian
AU - Haumer, Anton
PY - 2012
Y1 - 2012
N2 - Condition monitoring of rotor problems such as demagnetization
and eccentricity in permanent-magnet synchronous motors (PMSMs) is essential for guaranteeing high motor performance, efficiency, and reliability. However, there are many limitations to the offline and online 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 and 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 direct-current+alternating-current 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 7.5-kW 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 (PMSMs) is essential for guaranteeing high motor performance, efficiency, and reliability. However, there are many limitations to the offline and online 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 and 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 direct-current+alternating-current 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 7.5-kW PMSM verifies that demagnetization and eccentricity can be detected and classified independent of the load with high sensitivity.
KW - Alternating-current (ac) machine
KW - condition monitoring
KW - d-axis inductance
KW - demagnetization
KW - eccentricity,magnetic saturation
KW - permanent magnet (PM)
KW - synchronous motor (SM).
KW - Alternating-current (ac) machine
KW - condition monitoring
KW - d-axis inductance
KW - demagnetization
KW - eccentricity,magnetic saturation
KW - permanent magnet (PM)
KW - synchronous motor (SM).
M3 - Article
SN - 0093-9994
SP - 923
EP - 932
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
ER -