DocumentCode :
2457943
Title :
An extended model of induction machines with saturation suitable for fault analysis
Author :
Nandi, Subhasis
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
Volume :
3
fYear :
2003
fDate :
12-16 Oct. 2003
Firstpage :
1861
Abstract :
Literature review suggests that modeling of induction machines with saturation has received considerable attention. Most of these models are very application specific. None of them, however, seems to be completely adequate for the purpose of fault diagnosis. This is because for noninvasive detection technique such as motor current signature analysis (MCSA), one has to detect different frequency components in the line current of the machine. Since saturation is present to a certain extent in almost any machine, incorporating it in the model creates a condition to analyze and detect symptomatic harmonics in the line current spectra that may arise due to the interaction of saturation with a specific fault. The present paper attempts to create such a model. The model uses modulation of air gap permeance in order to emulate saturation. Modified winding function approach (MWFA) has been used to model the induction machine since the air gap becomes nonuniform in presence of saturation. To demonstrate the effectiveness of the model, certain high frequency harmonics that can be predicted theoretically, are shown to be present in the line current of the simulated machine. Experimental results also confirm the presence of these harmonics. The author plans to use this model in future for fault analysis.
Keywords :
asynchronous machines; fault diagnosis; harmonic analysis; machine windings; spectral analysis; 3 hp; 460 V; 60 Hz; air gap permeance modulation; extended model; fault analysis; frequency components detection; induction machines; line current; line current spectra; modified winding function approach; motor current signature analysis; noninvasive detection technique; squirrel cage induction machine; symptomatic harmonics detection; Air gaps; Frequency; Induction machines; Magnetic cores; Predictive models; Rotors; Stator cores; Teeth; Torque; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2003. 38th IAS Annual Meeting. Conference Record of the
Print_ISBN :
0-7803-7883-0
Type :
conf
DOI :
10.1109/IAS.2003.1257822
Filename :
1257822
Link To Document :
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