DocumentCode :
3233189
Title :
Detection of incipient rotor cage fault and mechanical abnormalities in induction motor using global modulation index on the line current spectrum
Author :
Didier, G. ; Ternisien, E. ; Razik, H.
Author_Institution :
Groupe de Recherches en Electrotech. et Electron. de Nancy, Nancy
fYear :
2005
fDate :
7-9 Sept. 2005
Firstpage :
1
Lastpage :
6
Abstract :
Asynchronous motors is nowadays the most used in industrial process. In this paper we describe a new approach to detect incipient broken rotor bar and mechanical abnormalities. We use the magnitude of components created in the line current and the instantaneous power spectra of one stator phase to detect the presence of these faults in induction motors. We show that the study of components created by space harmonics in the stator current allows us to differentiate a broken rotor bar to a load torque variation. First, we have looked the effects of these faults with a simulation model. Tanks to this study, fault components we have to supervise are localized in power spectra. Secondly, a load torque oscillation and several rotor cage faults were studied with various load level. Experimental results prove the efficiency of the proposed method.
Keywords :
induction motors; rotors; torque motors; global modulation index; incipient rotor cage fault; induction motor; line current spectrum; load torque oscillation; mechanical abnormalities; stator current; Circuit faults; Circuit simulation; Electrical fault detection; Fault detection; Frequency; Induction motors; Modulation; Rotors; Stators; Torque; Diagnosis; Incipient broken rotor bar; Induction motor; Load torque oscillation; Modulation indexes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics and Drives, 2005. SDEMPED 2005. 5th IEEE International Symposium on
Conference_Location :
Vienna
Print_ISBN :
978-0-7803-9124-6
Electronic_ISBN :
978-0-7803-9125-3
Type :
conf
DOI :
10.1109/DEMPED.2005.4662510
Filename :
4662510
Link To Document :
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