Abstract:
This paper presents a fault diagnosis and classification scheme for induction machines by using motor current signature analysis together with neural networks. The adopte...Show MoreMetadata
Abstract:
This paper presents a fault diagnosis and classification scheme for induction machines by using motor current signature analysis together with neural networks. The adopted strategy utilizes three-phase stator current sensors and calculates appropriate features using non-parametric and a statistical approach. The feature-set is reduced by means of the principal component analysis which acts as a pre-processor for the multilayer perceptron neural network. This two stage classification is carried out for detection and classification of faults. The efficacy of the proposed scheme is validated experimentally by using grid and inverter fed induction motors.
Date of Conference: 03-06 September 2018
Date Added to IEEE Xplore: 25 October 2018
ISBN Information:
Print on Demand(PoD) ISSN: 2381-4802
School of Engineering and Physics, University of the South Pacific, Suva, Fiji
Rahul R Kumar received his Bachelor's degree in Electrical and Electronic Engineering from the University of the South Pacific, Suva, Fiji (USP) in 2014. He was awarded a Graduate Assistantship in 2014 by USP research office and since 2015 has been a Teaching and Research assistant at the same university. In 2016, he completed his Master of Science in Engineering degree from USP. For both his Bachelor's and MSc degree, he...Show More
Rahul R Kumar received his Bachelor's degree in Electrical and Electronic Engineering from the University of the South Pacific, Suva, Fiji (USP) in 2014. He was awarded a Graduate Assistantship in 2014 by USP research office and since 2015 has been a Teaching and Research assistant at the same university. In 2016, he completed his Master of Science in Engineering degree from USP. For both his Bachelor's and MSc degree, he...View more
School of Engineering and Physics, University of the South Pacific, Suva, Fiji
Giansalvo Cirrincione received the M.S. degree in electrical engineering from the Politecnico di Torino, Italy, in 1991 and the Ph.D. degree (with the congratulations of the jury) from the Laboratoire d'Informatique et Signaux de I'Institut National Polytechnique de Grenoble, Grenoble, France, in 1998. In 1999, he was a Postdoctoral Scholar with the Department of Signals, Identification, System Theory and Automation (SIST...Show More
Giansalvo Cirrincione received the M.S. degree in electrical engineering from the Politecnico di Torino, Italy, in 1991 and the Ph.D. degree (with the congratulations of the jury) from the Laboratoire d'Informatique et Signaux de I'Institut National Polytechnique de Grenoble, Grenoble, France, in 1998. In 1999, he was a Postdoctoral Scholar with the Department of Signals, Identification, System Theory and Automation (SIST...View more
School of Engineering and Physics, University of the South Pacific, Suva, Fiji
Maurizio Cirrincione received the M.S degree in electrical engineering from the Politecnico di Torino, Italy, in 1991, and the Ph.D. degree from the University of Palermo, Palermo, Italy, in 1996, both in electrical engineering. From 1996 to 2005 he was a Researcher with the I.S.S.LA.-C.N.R. Section of Palermo (Institute on Intelligent Systems for Automation), Palermo, Italy. Since 2005 he has been Full Professor of Contr...Show More
Maurizio Cirrincione received the M.S degree in electrical engineering from the Politecnico di Torino, Italy, in 1991, and the Ph.D. degree from the University of Palermo, Palermo, Italy, in 1996, both in electrical engineering. From 1996 to 2005 he was a Researcher with the I.S.S.LA.-C.N.R. Section of Palermo (Institute on Intelligent Systems for Automation), Palermo, Italy. Since 2005 he has been Full Professor of Contr...View more
Department of Industrial Engineering, University of Padova, Italy
Mauro Andriollo received the M.S. degree in electrical engineering from the University of Padova, Padova, Italy, in 1985. From 1991 to 1998, he was a Researcher with the Department of Electrical Engineering, University of Padova. From 1998 to 2005, he was an Associate Professor with the Politecnico di Milano, Milan, Italy. Since 2005, he has been an Associate Professor with the University of Padova. His fields of interest...Show More
Mauro Andriollo received the M.S. degree in electrical engineering from the University of Padova, Padova, Italy, in 1985. From 1991 to 1998, he was a Researcher with the Department of Electrical Engineering, University of Padova. From 1998 to 2005, he was an Associate Professor with the Politecnico di Milano, Milan, Italy. Since 2005, he has been an Associate Professor with the University of Padova. His fields of interest...View more
Department of Industrial Engineering, University of Padova, Italy
Andrea Tortella received the M. S. degree in electrical engineering and the Ph.D. degree from the University of Padova, Padova, Italy, in 1993 and 1998, respectively. He was with the Department of Electrical Engineering since 1998, as a Researcher. Since 2011 he was Associate Professor at the same Department. His research interests include design and optimization techniques for linear and rotating permanent magnet machine...Show More
Andrea Tortella received the M. S. degree in electrical engineering and the Ph.D. degree from the University of Padova, Padova, Italy, in 1993 and 1998, respectively. He was with the Department of Electrical Engineering since 1998, as a Researcher. Since 2011 he was Associate Professor at the same Department. His research interests include design and optimization techniques for linear and rotating permanent magnet machine...View more
School of Engineering and Physics, University of the South Pacific, Suva, Fiji
Rahul R Kumar received his Bachelor's degree in Electrical and Electronic Engineering from the University of the South Pacific, Suva, Fiji (USP) in 2014. He was awarded a Graduate Assistantship in 2014 by USP research office and since 2015 has been a Teaching and Research assistant at the same university. In 2016, he completed his Master of Science in Engineering degree from USP. For both his Bachelor's and MSc degree, he received Gold medals for most being outstanding graduate in the programme and for best MSc thesis in 2014 and 2017, respectively. Currently, he is a Doctoral Student at the University of Padova, Padova, Italy. His current research interests include neural networks, system identification, electrical machine fault diagnosis, robotics (armed robots) and data analysis.
Rahul R Kumar received his Bachelor's degree in Electrical and Electronic Engineering from the University of the South Pacific, Suva, Fiji (USP) in 2014. He was awarded a Graduate Assistantship in 2014 by USP research office and since 2015 has been a Teaching and Research assistant at the same university. In 2016, he completed his Master of Science in Engineering degree from USP. For both his Bachelor's and MSc degree, he received Gold medals for most being outstanding graduate in the programme and for best MSc thesis in 2014 and 2017, respectively. Currently, he is a Doctoral Student at the University of Padova, Padova, Italy. His current research interests include neural networks, system identification, electrical machine fault diagnosis, robotics (armed robots) and data analysis.View more
School of Engineering and Physics, University of the South Pacific, Suva, Fiji
Giansalvo Cirrincione received the M.S. degree in electrical engineering from the Politecnico di Torino, Italy, in 1991 and the Ph.D. degree (with the congratulations of the jury) from the Laboratoire d'Informatique et Signaux de I'Institut National Polytechnique de Grenoble, Grenoble, France, in 1998. In 1999, he was a Postdoctoral Scholar with the Department of Signals, Identification, System Theory and Automation (SISTA), Leuven University, Leuven, Belgium. Since 2000, he has been an Assistant Professor with the Department of Electrical Engineering, University of Picardie “Jules Verne,” Amiens, France. He is also Adjunct Associate professor at the University of the South Pacific. His current research interests include neural networks, data analysis, computer vision, brain models, and system identification.
Giansalvo Cirrincione received the M.S. degree in electrical engineering from the Politecnico di Torino, Italy, in 1991 and the Ph.D. degree (with the congratulations of the jury) from the Laboratoire d'Informatique et Signaux de I'Institut National Polytechnique de Grenoble, Grenoble, France, in 1998. In 1999, he was a Postdoctoral Scholar with the Department of Signals, Identification, System Theory and Automation (SISTA), Leuven University, Leuven, Belgium. Since 2000, he has been an Assistant Professor with the Department of Electrical Engineering, University of Picardie “Jules Verne,” Amiens, France. He is also Adjunct Associate professor at the University of the South Pacific. His current research interests include neural networks, data analysis, computer vision, brain models, and system identification.View more
School of Engineering and Physics, University of the South Pacific, Suva, Fiji
Maurizio Cirrincione received the M.S degree in electrical engineering from the Politecnico di Torino, Italy, in 1991, and the Ph.D. degree from the University of Palermo, Palermo, Italy, in 1996, both in electrical engineering. From 1996 to 2005 he was a Researcher with the I.S.S.LA.-C.N.R. Section of Palermo (Institute on Intelligent Systems for Automation), Palermo, Italy. Since 2005 he has been Full Professor of Control Systems at the UTBM (University of Technology of Belfort-Montbeliard) in Belfort, France and member of the IRTES Laboratory and the FC Lab (Fuel Cell laboratory) in Belfort, France. Since April 2014 he has been the Head of the “School of Engineering and Physics” of the University of the South Pacific in Suva, Fiji Islands. His current research interests are neural networks for modelling and control, system identification, intelligent control, power electronics, power quality, renewable energy systems, control of fuel cell systems, hybrid vehicles, and electrical machines and drives with rotating or linear AC motors.
Maurizio Cirrincione received the M.S degree in electrical engineering from the Politecnico di Torino, Italy, in 1991, and the Ph.D. degree from the University of Palermo, Palermo, Italy, in 1996, both in electrical engineering. From 1996 to 2005 he was a Researcher with the I.S.S.LA.-C.N.R. Section of Palermo (Institute on Intelligent Systems for Automation), Palermo, Italy. Since 2005 he has been Full Professor of Control Systems at the UTBM (University of Technology of Belfort-Montbeliard) in Belfort, France and member of the IRTES Laboratory and the FC Lab (Fuel Cell laboratory) in Belfort, France. Since April 2014 he has been the Head of the “School of Engineering and Physics” of the University of the South Pacific in Suva, Fiji Islands. His current research interests are neural networks for modelling and control, system identification, intelligent control, power electronics, power quality, renewable energy systems, control of fuel cell systems, hybrid vehicles, and electrical machines and drives with rotating or linear AC motors.View more
Department of Industrial Engineering, University of Padova, Italy
Mauro Andriollo received the M.S. degree in electrical engineering from the University of Padova, Padova, Italy, in 1985. From 1991 to 1998, he was a Researcher with the Department of Electrical Engineering, University of Padova. From 1998 to 2005, he was an Associate Professor with the Politecnico di Milano, Milan, Italy. Since 2005, he has been an Associate Professor with the University of Padova. His fields of interest are the development of computational methods for electromagnetic analysis and the design and modeling of electrical machines and drives.
Mauro Andriollo received the M.S. degree in electrical engineering from the University of Padova, Padova, Italy, in 1985. From 1991 to 1998, he was a Researcher with the Department of Electrical Engineering, University of Padova. From 1998 to 2005, he was an Associate Professor with the Politecnico di Milano, Milan, Italy. Since 2005, he has been an Associate Professor with the University of Padova. His fields of interest are the development of computational methods for electromagnetic analysis and the design and modeling of electrical machines and drives.View more
Department of Industrial Engineering, University of Padova, Italy
Andrea Tortella received the M. S. degree in electrical engineering and the Ph.D. degree from the University of Padova, Padova, Italy, in 1993 and 1998, respectively. He was with the Department of Electrical Engineering since 1998, as a Researcher. Since 2011 he was Associate Professor at the same Department. His research interests include design and optimization techniques for linear and rotating permanent magnet machines, adopted in electric propulsion, power generation and home appliances.
Andrea Tortella received the M. S. degree in electrical engineering and the Ph.D. degree from the University of Padova, Padova, Italy, in 1993 and 1998, respectively. He was with the Department of Electrical Engineering since 1998, as a Researcher. Since 2011 he was Associate Professor at the same Department. His research interests include design and optimization techniques for linear and rotating permanent magnet machines, adopted in electric propulsion, power generation and home appliances.View more