Title :
A Review of Separating Mechanical Load Effects from Rotor Faults Detection in Induction Motors
Author :
Wu, Long ; Habetler, Thomas G. ; Harley, Ronald G.
Author_Institution :
John Deere Phoenix Int., Fargo
Abstract :
Motor current signature analysis (MCSA) is usually used to detect rotor faults in induction motors. However, some abnormal mechanical load conditions such as load torque oscillation have similar effects in the stator current spectrum and often cause ambiguity in online motor condition monitoring. This paper first compares the effects of different types of rotor faults and mechanical load anomalies on the stator current spectra. After that, a comprehensive literature review is presented to evaluate different diagnostic techniques on separating these two effects. Based on their respective merits and limitations, an effective and computationally efficient strategy is proposed to reliably detect rotor faults under arbitrary load conditions without dependence on the accurate estimation of motor parameters.
Keywords :
fault location; induction motors; rotors; stators; torque; induction motors; load torque oscillation; mechanical load effects; motor condition monitoring; motor current signature analysis; rotor faults detection; stator current spectrum; Air gaps; Condition monitoring; Drives; Electrical fault detection; Fault detection; Induction motors; Manufacturing; Rotors; Stators; Torque; Induction Motors; Load Torque Oscillation; Mechanical Load Effects; Online Condition Monitoring; Stator Current Spectrum Analysis;
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007. IEEE International Symposium on
Conference_Location :
Cracow
Print_ISBN :
978-1-4244-1061-3
Electronic_ISBN :
978-1-4244-1062-0
DOI :
10.1109/DEMPED.2007.4393098