ICGST- ACSE Journal

ACSE Volume (7), Issue (II) ICGST

Modeling and Diagnostics of Inductions Machines under Rotor Failures

 Tarek Aroui , Yassine Koubaa, Ahmed Toumi

Research Unity of Industrial Process Control (UCPI), National Engineering School of Sfax (ENIS), B.P. : W 3038 Sfax-Tunisia

Abstract

In this paper, a transient model of the faulty machine is developed. The model is referred to a three phase stator winding, while the rotor has been represented by all the meshes allowing for the representation of various faults. The model is based on coupled magnetic circuit theory and incorporates non sinusoidal air-gap magneto motive force (MMF) produced by both stator and rotor, therefore it will include all the space harmonics in the machine. Simulation and experimental results were first used to identify low and high frequency spectral components created by rotor anomalies in the stator current spectrum. This paper then presents an approach for motor rotor fault diagnosis using neural networks. The proposed methodology has been experimentally tested on a 5.5Kw/3000rpm induction motor. The obtained results provide a satisfactory level of accuracy.

 Keywords: Induction machines, coupled magnetic circuit, rotor failures, Neural networks, diagnostic.

(P1110708001, 980 KB

Biographies:

Tarek Aroui was born in Mahdia, Tunisia in 1969. He received the Electrical Engineering Diploma from National Engineering school of Monastir  (ENIM) in 1994. He received DEA(Master) degrees in 2001 and he is currently working toward the Doctoral thesis in the National Engineering school of Sfax  (ENIS).  He was an Electrical Engineer with the SITEX Company for several years. He is currently an Assistant professor at the National Engineering school of Sousse(ENISo).

 

Yassine Koubaa was born in Sfax, Tunisia in 1961. He received the B.S. and DEA degrees in 84 and 86, respectively, the Doctoral thesis in 1996, the ‘‘Habilitation Universitaire’’ (HDR) from the National Engineering  school of  Sfax  (ENIS)  all in electrical engineering. From   1989  to 1996,  he was  an  Assistant professor in  the Electrical Engineering Department of  ENIS.  In september 1997,   he  has  been  an  Associate  Professor. Since September 2005, he becomes a full  Professor at  the  same   university.  His   main research interests cover several   aspects related to   electrical machines, including systems identification, advanced motion control and diagnostics. He has authored more than 60 papers in international conferences and technical journals in the area as well as many patents. He serves as a member of the Scientific and the Technical Program Committees of several international conferences and technical journals in the motor drives fields.

Ahmed Toumi (born on 1952), Professor in the Sfax Engineering National School (ENIS), received the Electrical Engineering Diploma from (ENIS/Tunisia), the DEA (Master) in Instrumentation and Measurement from University of Bordeaux-1/France in 1981 and the Doctoral Thesis from the University of Tunis in 1985. He joined the Sfax Engineering National School (ENIS), as an Associate Professor of Electric Engineering, since October 1981. In 2000, he obtained the University Habilitation (HDR) from the Sfax Engineering School (ENIS). He is at present the Director of the Electrical Engineering Department in ENIS. The main research area concerns the modelling, the stability of the electric machines, the electrical networks, the fuzzy logic control. He is the Head of the Research Unit of Industrial Processes Control (UCPI) of the Sfax University. Since 2002, he is the President of the international conference on Sciences and Techniques of Automatic control (STA) which have taken place in a number of tourist cities of Tunisia.

BibTex:

@ARTICLE{P1110708001,

AUTHOR = {Tarek Aroui and Yassine Koubaa and Ahmed Toumi},

TITLE = {Modeling and Diagnostics of Inductions Machines under Rotor Failures},

JOURNAL = {ICGST International Journal on Automatic Control and Systems Engineering, ACSE},

YEAR = {2007},

VOLUME = {07},

ISSUE = {II},

PAGES ={9--18}

}

(P1110708001, 980 KB)