DocumentCode
2273705
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
fYear
2007
fDate
6-8 Sept. 2007
Firstpage
221
Lastpage
225
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/DEMPED.2007.4393098
Filename
4393098
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