NDLI: Broken bar detection in induction machines: comparison between current spectrum approach and parameter estimation approach

Content Provider	IEEE Xplore Digital Library
Author	Filippetti, F. Franceschini, G. Tassoni, C. Vas, P.
Copyright Year	1994
Description	Author affiliation: Istituto di Elettrotecnica, Bologna Univ., Italy (Filippetti, F.)
Abstract	In this paper the diagnosis of induction machine rotor electrical faults is considered. Two approaches are compared: the current spectrum analysis and the apparent rotor resistance estimation. For the first approach the authors have developed several procedures based on different fault models of the machine. Their experience is used to approach the parameter estimation method from a theoretical point of view: the resistance variation of the balanced per-phase model is computed using the faulted machine model. It is possible to obtain, by the simulation, the expected resistance variation when some bars break in a specific machine. Moreover the numerical results can be generalized. Using a simplified model of a faulted machine a relationship is obtained, which correlates the apparent resistance variation with the number of broken bars. This relationship needs several assumptions and therefore it is an approximate one, but can be used to define the threshold level for the apparent resistance variation expected in the case of one broken bar. By this relationship it is possible to have an indication on the sensitivity of the parameter estimation approach. The superiority of the current spectrum approach over the parameter estimation approach is shown.<>
Starting Page	95
Ending Page	102
File Size	805095
Page Count	8
File Format	PDF
ISBN	0780319931
DOI	10.1109/IAS.1994.345493
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Solid modeling Parameter estimation Thermal resistance Computational modeling Senior members Induction machines Circuit faults Bars Electric resistance
Content Type	Text
Resource Type	Article

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