Thorough Validation of a Rotor Fault Diagnosis Methodology in Laboratory and Field Soft-Started Induction Motors

Chinese Journal of Electrical Engineering ›› 2018, Vol. 4 ›› Issue (3): 66-72.

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Thorough Validation of a Rotor Fault Diagnosis Methodology in Laboratory and Field Soft-Started Induction Motors

Jesus A. Corral-Hernandez, Jose A. Antonino-Daviu^*

Instituto Tecnológico de la Energía, Universitat Politecnica de Valencia, Valencia 46022, Spain

Online:2018-09-25 Published:2019-10-31
Contact: * , E-mail: joanda@die.upv.es.
About author:Jesus A. Corral-Hernandez received the B.S. degree in Mechanical Engineering (with honors) and the M. S. degree in Industrial Maintenance from Universitat Politecnica de Valencia, Valencia, Spain, in 2006 and 2013, respectively. He got his Ph.D in Electrical Engineering in 2018. Previously, he had received the B. degree in Business Administration from University of Valencia in 1999. He obtained a fellowship during nine months (2005-2006) in the Engine Department (CMT) of the UPV. He was collaborating during four months (2010) in Electrical Engineering Department (DIE) of the UPV. In January 2015, he joined the Centro De Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid. Jose A. Antonino-Daviu (S'04, M'08, SM'12) received his M.S. and Ph. D. degrees in Electrical Engineering, both from the Universitat Politècnica de València, in 2000 and 2006, respectively. He also received his Bs. in Business Administration from Universitat de Valencia in 2012. He was working for IBM during 2 years, being involved in several international projects. Currently, he is Associate Professor in the Department of Electrical Engineering of the mentioned University, where he develops his docent and research work. He has been invited professor in Helsinki University of Technology (Finland) in 2005 and 2007, Michigan State University(USA) in 2010, Korea University (Korea) in 2014 and Université Claude Bernard Lyon 1 (France) in 2015. He is IEEE Senior Member since 2012 and he has published over 160 contributions, including international journals, conferences and books. He is also Associate Editor of IEEE transactions on Industrial Informatics and has been Guest Editor in IEEE transactions on Industrial Electronics. He was General Co-Chair of IEEE SDEMPED 2013.L13
Supported by:
Supported by the Spanish ‘Ministerio de Economía y Competitividad’ (MINECO) and FEDER program in the framework of the ‘Proyectos I+D del Subprograma de Generación de Conocimiento, Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia’ (ref: DPI2014-52842-P).”

Abstract

Abstract: Induction motors are the most widespread rotating electrical machines in industry. Predictive maintenance of the motors is of crucial importance due to the fact that unexpected faults in those machines can lead to huge economic losses for the corresponding companies. Over recent years, there is an increasing use of industrial induction motors operated by different types of drives, which have different functionalities. Among them, the use of soft-starters has proliferated due to the inherent benefits provided by these drives: they damp the high starting currents, enabling the soft startup of the motors and avoiding undesirable commutation transients introduced by other starting modalities. In spite of these advantages, they do not avoid the possible occurrence of rotor damages, one of the most common faults in this type of motors. Few works have proposed predictive maintenance techniques that are aimed to diagnose the rotor condition in soft-started machines and even fewer have demonstrated the validity of their methods in real motors. This work presents, for the first time, the massive validation of a rotor fault diagnosis methodology in soft-started induction motors. Industrial and laboratory and induction motors started under different types of soft-starters and with diverse rotor fault conditions are considered in the work. The results prove the potential of the approach for the reliable assessment of the rotor condition in such machines.

Key words: Induction motors, soft-starter, fault diagnosis, transient analysis, rotor, reliability, fault detection, wavelet

Jesus A. Corral-Hernandez, Jose A. Antonino-Daviu. Thorough Validation of a Rotor Fault Diagnosis Methodology in Laboratory and Field Soft-Started Induction Motors[J]. Chinese Journal of Electrical Engineering, 2018, 4(3): 66-72.

References

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Thorough Validation of a Rotor Fault Diagnosis Methodology in Laboratory and Field Soft-Started Induction Motors

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