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Original Articles

Induction Motors Broken Rotor Bars Diagnosis Through the Discrete Wavelet Transform of the Instantaneous Reactive Power Signal under Time-varying Load Conditions

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Pages 682-692 | Received 27 Jan 2013, Accepted 19 Jan 2014, Published online: 24 Apr 2014
 

Abstract

Abstract—In this article, a method based on the application of the discrete wavelet transform to the instantaneous reactive power signal, for diagnosing the occurrence of broken rotor bars in induction motors operating under time-varying load conditions, is presented. This method is based on the decomposition of the instantaneous reactive power signal, from which wavelet approximation and detail coefficients are extracted. The energy evaluation of known bandwidths permits to define a fault severity factor. This method has been tested through the simulation of an induction motor using a mathematical model based on the winding-function approach. These simulation results are complemented by experimental tests conducted on an induction motor with several faulty rotors that can be interchanged and both simulation and experimental results have shown the effectiveness of the proposed method for broken rotor bars diagnosis in induction motors even under time-varying load conditions.

Acknowledgments

The authors would like to thank Mr. R. Ventura and Dr. J. Estima for their help during the laboratory tests.

NOMENCLATURE

f, fb=

power supply and rotor-fault characteristic frequencies

fs=

sampling frequency

ia, ib, ic=

instantaneous current a, b, c components

Il, k, ϕl, k=

RMS value of lower current component at (fkfb) and its initial phase angle

Ir, k, ϕr, k=

RMS value of upper current component at (f + kfb) and its initial phase angle

IRP=

instantaneous reactive power

k=

integer

l=

number of decomposition levels

qi(t)=

instantaneous reactive power

s, p=

motor slip and number of pole pairs

va, vb, vc=

instantaneous voltage a, b, c components

V, I=

RMS values of the supply phase voltage and current

ω = 2πf=

power supply angular frequency

ωb = 2πfb=

rotor characteristic fault angular frequency

Additional information

Notes on contributors

Khaled Yahia

Khaled Yahia was born in Biskra, Algeria in 1980. He received his B.Sc., M.Sc., and Ph.D. in electrical engineering from University of Biskra, Algeria, in 2002, 2005, and 2012, respectively. Currently, he is an assistant professor at University of Biskra and PhD collaborator at CISE - Electromechatronic Systems Research Centre, University of Beira Interior, Covilhã, Portugal. His research interests are focused on the control and condition monitoring of AC motors and energy efficiency in AC variable-speed drives systems.

Antonio J. Marques Cardoso

Antonio J. Marques Cardoso was born in Coimbra, Portugal, in 1962. He received his electrical engineering diploma, his Dr. Eng. degree, and habilitation degree, from University of Coimbra, Coimbra, Portugal, in 1985, 1995, and 2008, respectively. From 1985 until 2011, he was with University of Coimbra, Coimbra, Portugal, where he was Director of the Electrical Machines Laboratory. Since 2011, he has been with University of Beira Interior (UBI), Covilhã, Portugal, where he is a full professor in the Department of Electromechanical Engineering and Director of CISE—Electromechatronic Systems Research Centre (http://cise.ubi.pt/). From September 2013 to January 2014, he was Vice-Chancellor of UBI. He is the author of a book entitled Fault Diagnosis in Three-Phase Induction Motors (Coimbra, Portugal: Coimbra Editora, 1991; in Portuguese) and about 350 papers published in technical journals and conference proceedings. His teaching interests cover electrical rotating machines, transformers, and maintenance of electromechatronic systems; his research interests are focused on condition monitoring and diagnostics of electrical machines and drives.

Adel Ghoggal

Adel Ghoggal received his electrical engineering degree from University of Biskra—Algeria in 1996. Between 1999 and 2003, he worked for the national company of electricity and gas (SONELGAZ)—Algeria. He received his “Magistère” in electrical engineering from University of Batna in 2005 and his “Doctorat en sciences” from University of Biskra in 2010. He is an assistant professor at University of Constantine Algeria since 2005 and a member of the Laboratoire de Génie Electrique de Biskra (LGEB) since 2007. His research interests are focused on the modeling and condition monitoring of AC motors.

Salah-Eddine Zouzou

Salah-Eddine Zouzou was born in Biskra, Algeria, in 1963. He received his B.Sc. from National Polytechnic School, Algiers, in 1987, and his M.Sc. and Ph.D. from National Polytechnic Academy of Grenoble, France, in 1988 and 1991, respectively. He has authored or co-authored more than 50 scientific papers in national and international conferences and journals. He is a professor at the Electrical Engineering Department, Biskra University, and he has been the director of the electrical engineering laboratory of Biskra since 2004. His research interests are focused on the design and condition monitoring of AC motors.

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