A Method for the Determination of Fault and Wear Types in Induction Motor's Bearings
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2022. 384-389 Beitrag in 2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC), Brasov, Rumänien.
Publikationen: Konferenzbeitrag › Paper › (peer-reviewed)
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TY - CONF
T1 - A Method for the Determination of Fault and Wear Types in Induction Motor's Bearings
AU - Floh, Florian
AU - Weiß, Helmut
PY - 2022/12/1
Y1 - 2022/12/1
N2 - The main objective of this work is to investigate the feasibility of a method to determine the fault and wear type in induction motor's bearings. Instead of attaching a vibration sensor in close proximity to the bearings and examining its signal for any frequency components that indicate a flaw, this approach considers the stator current of the motor that is fed by a frequency inverter. Therefore, the motor (mounted on a test rig) will be quipped with bearings of known fault. By performing a thorough examination of the stator current signal, a method will be presented that is capable of indicating the fault and wear type of the bearing. In this work, the examined fault types (installed bearings with known fault) are fretting wear, abrasive wear and corroded bearings.
AB - The main objective of this work is to investigate the feasibility of a method to determine the fault and wear type in induction motor's bearings. Instead of attaching a vibration sensor in close proximity to the bearings and examining its signal for any frequency components that indicate a flaw, this approach considers the stator current of the motor that is fed by a frequency inverter. Therefore, the motor (mounted on a test rig) will be quipped with bearings of known fault. By performing a thorough examination of the stator current signal, a method will be presented that is capable of indicating the fault and wear type of the bearing. In this work, the examined fault types (installed bearings with known fault) are fretting wear, abrasive wear and corroded bearings.
KW - induction motor
KW - bearing fault detection
KW - fault diagnosis
KW - condition monitoring
U2 - 10.1109/PEMC51159.2022.9962886
DO - 10.1109/PEMC51159.2022.9962886
M3 - Paper
SP - 384
EP - 389
T2 - 2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC)
Y2 - 25 September 2022 through 28 September 2022
ER -
