DocumentCode :
1668192
Title :
An Accurate Model by Using the Legendre Polynomial Functions of a Dual Stator Induction Machine Dedicated to the Static Eccentricity Diagnosis
Author :
Andriamalala, Rijaniaina N. ; Razik, Hubert ; Didier, Gaetan ; Corr, M. B R ; Sargos, F.M.
Author_Institution :
Univ. Henri Poincare - Nancy, Nancy
fYear :
2007
Firstpage :
1909
Lastpage :
1916
Abstract :
The induction machine takes a preponderant place in many industrial applications due to its low cost and to its robustness. Nowadays, there are several standard schemes for the control of that kind of machine. In order to release a power segmentation and to increase the reliability, many engineers suggest to use multi-phase supplies. Furthermore, they advocate the dual stator winding induction machine (DSWIM), in which the two three phase stator winding systems are shifted by any angle. The main purpose of our investigation is to propose two models of the DSWIM under static eccentricity by using two shapes of the air- gap function and their associated permeance functions. The first method uses a classical form of the air-gap function. The second one gives a novel expression of the air-gap function involving a Legendre polynomial development that is obtained thanks to a geometrical study of the permeance function. Simulated and experimental set-up will prove the effectiveness of both models by choosing the Motor Current Signature Analysis (MCSA) as the diagnosis tool.
Keywords :
Legendre polynomials; asynchronous machines; machine theory; stators; DSWIM; Legendre polynomial functions; air-gap function; dual stator induction machine reliability; motor current signature analysis; multi-phase supplies; power segmentation; static eccentricity diagnosis; three phase stator winding systems; Air gaps; Costs; Induction machines; Polynomials; Power engineering and energy; Power system modeling; Power system reliability; Reliability engineering; Robustness; Stator windings;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2007. 42nd IAS Annual Meeting. Conference Record of the 2007 IEEE
Conference_Location :
New Orleans, LA
ISSN :
0197-2618
Print_ISBN :
978-1-4244-1259-4
Electronic_ISBN :
0197-2618
Type :
conf
DOI :
10.1109/07IAS.2007.291
Filename :
4348040
Link To Document :
بازگشت