Title :
Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines
Author :
Bachir, Smail ; Tnani, Slim ; Trigeassou, Jean-Claude ; Champenois, Gérard
Author_Institution :
Lab. d´´Automatique et d´´Informatique Industrielle, Angouleme, France
fDate :
6/1/2006 12:00:00 AM
Abstract :
In this paper, the authors give a new model of squirrel-cage induction motors under stator and rotor faults. First, they study an original model that takes into account the effects of interturn faults resulting in the shorting of one or more circuits of stator-phase winding. They introduce, thus, additional parameters to explain the fault in the three stator phases. Then, they propose a new faulty model dedicated to broken rotor bars detection. The corresponding diagnosis procedure based on parameter estimation of the stator and rotor faulty model is proposed. The estimation technique is performed by taking into account prior information available on the safe system operating in nominal conditions. A special three-phase induction machine has been designed and constructed in order to simulate true faulty experiments. Experimental test results show good agreement and demonstrate the possibility of detection and localization of previous failures.
Keywords :
bars; failure analysis; fault location; parameter estimation; rotors; squirrel cage motors; stators; broken rotor bars detection; failure localization; fault diagnosis; interturn faults; parameter estimation; rotor faults; squirrel-cage induction motors; stator faults; stator-phase winding; three-phase induction machine; Bars; Circuit faults; Electrical fault detection; Fault detection; Fault diagnosis; Induction machines; Induction motors; Parameter estimation; Rotors; Stator windings; Broken rotor bars; faults diagnosis; induction motors; modeling; parameter estimation; prior information; short circuit;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2006.874258