DocumentCode :
742633
Title :
Validation of a Faulted Rotor Induction Machine Model With an Insightful Geometrical Interpretation of Physical Quantities
Author :
Concari, Carlo ; Franceschini, Giovanni ; Tassoni, C. ; Toscani, Andrea
Author_Institution :
Dept. of Inf. Eng., Univ. of Parma, Parma, Italy
Volume :
60
Issue :
9
fYear :
2013
Firstpage :
4074
Lastpage :
4083
Abstract :
Many proposals about induction-machine broken-bar detection can be found in the literature. Disturbances that affect phase currents, current space vector, power, fluxes, torque, and speed have been utilized to diagnose mains-supplied machines. Nevertheless, there is still disagreement about how the fault signatures of the different variables correlate with the actual fault and how they depend on the operating conditions. This paper presents a simple but effective analytical representation of induction machines with rotor faults, based on a synchronous reference frame and on Steinmetz´s phasors. The developed relationships can be visualized through equivalent circuits, feedback loop block diagrams, or geometrical loci, allowing a deep understanding of the underlying physical phenomena, particularly as functions of inertia and of the machine parameters. The insight thus gained helps to enhance the quantification of fault severity with respect to the usual diagnostic technique based on the sum of the sidebands, clearly defining for the first time the field of validity of such technique. The analytical results are verified through simulations and experiments.
Keywords :
asynchronous machines; equivalent circuits; rotors; Steinmetz phasors; current space vector; equivalent circuits; fault severity; faulted rotor induction machine; feedback loop block diagrams; fluxes; geometrical loci; induction-machine broken-bar detection; insightful geometrical interpretation; mains-supplied machines; phase currents; physical quantities; synchronous reference frame; torque; Amplitude modulation; Bars; Circuit faults; Magnetic flux; Rotors; Torque; Vectors; Analytical model; broken bars; condition monitoring; fault diagnosis; induction machines; inverse problems; modeling; motor current signature analysis (MCSA); spectral analysis;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2012.2228142
Filename :
6355991
Link To Document :
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