A Topological Neural-Based Scheme for Classification of Faults in Induction Machines | IEEE Journals & Magazine | IEEE Xplore

A Topological Neural-Based Scheme for Classification of Faults in Induction Machines


Abstract:

This article presents a data-driven approach for the classification of faults in induction machines. The designed scheme involves newly engineered features extracted from...Show More

Abstract:

This article presents a data-driven approach for the classification of faults in induction machines. The designed scheme involves newly engineered features extracted from the line current signals, which provides an improved fault discrimination. For this purpose, a topological-based fast projection technique (curvilinear component analysis) is used as a tool to reduce the dimensionality of the data and interpret the feature behavior. Consequently, a shallow convolutional neural network has been designed to classify the three-phase stator current signals. Experimental tests at different operating conditions have assessed the procedure, confirming its effectiveness and suitability for online and real-time diagnostics.
Published in: IEEE Transactions on Industry Applications ( Volume: 57, Issue: 1, Jan.-Feb. 2021)
Page(s): 272 - 283
Date of Publication: 22 October 2020

ISSN Information:

Author image of Rahul R. Kumar
Department of Electrical Engineering, University of Padua, Padua, Italy
School of Engineering and Physics, The University of the South Pacific, Suva, Fiji
Rahul R. Kumar (Student Member, IEEE) received the bachelor's degree in electrical and electronic engineering and the M.Sc. degree in engineering from The University of the South Pacific (USP), Suva, Fiji, in 2014 and 2016. He is currently a doctoral student with the University of Padova, Padua, Italy.
Since 2015, he has been a Teaching and Research Assistant with USP, Suva. His current research interests include neural ne...Show More
Rahul R. Kumar (Student Member, IEEE) received the bachelor's degree in electrical and electronic engineering and the M.Sc. degree in engineering from The University of the South Pacific (USP), Suva, Fiji, in 2014 and 2016. He is currently a doctoral student with the University of Padova, Padua, Italy.
Since 2015, he has been a Teaching and Research Assistant with USP, Suva. His current research interests include neural ne...View more
Author image of Giansalvo Cirrincione
Lab. LTI, University of Picardy Jules Verne, Amiens, France
School of Engineering and Physics, The University of the South Pacific, Suva, Fiji
Giansalvo Cirrincione (Senior Member, IEEE) received the “Laurea” degree in electrical engineering from the Politecnico di Torino, Turin, Italy, in 1991, and the Ph.D. degree (with the congratulations of the jury) in cognitive science from the Grenoble Institute of Technology, Grenoble, France, in 1998.
In 1999, he was a Postdoctoral Scholar with the Department of Signals, Identification, System Theory and Automation, Kath...Show More
Giansalvo Cirrincione (Senior Member, IEEE) received the “Laurea” degree in electrical engineering from the Politecnico di Torino, Turin, Italy, in 1991, and the Ph.D. degree (with the congratulations of the jury) in cognitive science from the Grenoble Institute of Technology, Grenoble, France, in 1998.
In 1999, he was a Postdoctoral Scholar with the Department of Signals, Identification, System Theory and Automation, Kath...View more
Author image of Maurizio Cirrincione
School of Engineering and Physics, The University of the South Pacific, Suva, Fiji
Maurizio Cirrincione (Senior Member, IEEE) received the “Laurea” degree from the Politecnico di Turino, Turin, 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 Institute on Intelligent Systems for Automation, National Research Council, Rome, Italy. Since 2005, he has been a Full Professor of Control ...Show More
Maurizio Cirrincione (Senior Member, IEEE) received the “Laurea” degree from the Politecnico di Turino, Turin, 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 Institute on Intelligent Systems for Automation, National Research Council, Rome, Italy. Since 2005, he has been a Full Professor of Control ...View more
Author image of Andrea Tortella
Department of Electrical Engineering, University of Padua, Padua, Italy
Andrea Tortella (Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering from the University of Padova, Padua, Italy, in 1993 and 1998, respectively.
In 1998, he was with the Department of Electrical Engineering, as a Researcher, where since 2011, he has been an Associate Professor. His research interests include design and optimization techniques for linear and rotating permanent magnet machines, adopt...Show More
Andrea Tortella (Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering from the University of Padova, Padua, Italy, in 1993 and 1998, respectively.
In 1998, he was with the Department of Electrical Engineering, as a Researcher, where since 2011, he has been an Associate Professor. His research interests include design and optimization techniques for linear and rotating permanent magnet machines, adopt...View more
Author image of Mauro Andriollo
Department of Electrical Engineering, University of Padua, Padua, Italy
Mauro Andriollo (Member, IEEE) received the M.S. degree in electrical engineering from the University of Padova, Padua, 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, Padua. Hi...Show More
Mauro Andriollo (Member, IEEE) received the M.S. degree in electrical engineering from the University of Padova, Padua, 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, Padua. Hi...View more

Author image of Rahul R. Kumar
Department of Electrical Engineering, University of Padua, Padua, Italy
School of Engineering and Physics, The University of the South Pacific, Suva, Fiji
Rahul R. Kumar (Student Member, IEEE) received the bachelor's degree in electrical and electronic engineering and the M.Sc. degree in engineering from The University of the South Pacific (USP), Suva, Fiji, in 2014 and 2016. He is currently a doctoral student with the University of Padova, Padua, Italy.
Since 2015, he has been a Teaching and Research Assistant with USP, Suva. His current research interests include neural networks, system identification, electrical machine fault diagnosis, robotics (armed robots), and data analysis.
Rahul R. Kumar (Student Member, IEEE) received the bachelor's degree in electrical and electronic engineering and the M.Sc. degree in engineering from The University of the South Pacific (USP), Suva, Fiji, in 2014 and 2016. He is currently a doctoral student with the University of Padova, Padua, Italy.
Since 2015, he has been a Teaching and Research Assistant with USP, Suva. His current research interests include neural networks, system identification, electrical machine fault diagnosis, robotics (armed robots), and data analysis.View more
Author image of Giansalvo Cirrincione
Lab. LTI, University of Picardy Jules Verne, Amiens, France
School of Engineering and Physics, The University of the South Pacific, Suva, Fiji
Giansalvo Cirrincione (Senior Member, IEEE) received the “Laurea” degree in electrical engineering from the Politecnico di Torino, Turin, Italy, in 1991, and the Ph.D. degree (with the congratulations of the jury) in cognitive science from the Grenoble Institute of Technology, Grenoble, France, in 1998.
In 1999, he was a Postdoctoral Scholar with the Department of Signals, Identification, System Theory and Automation, Katholieke Universiteit Leuven, Leuven, Belgium. Since 2000, he has been an Associate Professor with the Department of Electrical Engineering, University of Picardy Jules Verne, Amiens, France. His current research interests include deep learning, neural networks, data analysis, electrical drives, computer vision, and system identification and diagnostics.
Giansalvo Cirrincione (Senior Member, IEEE) received the “Laurea” degree in electrical engineering from the Politecnico di Torino, Turin, Italy, in 1991, and the Ph.D. degree (with the congratulations of the jury) in cognitive science from the Grenoble Institute of Technology, Grenoble, France, in 1998.
In 1999, he was a Postdoctoral Scholar with the Department of Signals, Identification, System Theory and Automation, Katholieke Universiteit Leuven, Leuven, Belgium. Since 2000, he has been an Associate Professor with the Department of Electrical Engineering, University of Picardy Jules Verne, Amiens, France. His current research interests include deep learning, neural networks, data analysis, electrical drives, computer vision, and system identification and diagnostics.View more
Author image of Maurizio Cirrincione
School of Engineering and Physics, The University of the South Pacific, Suva, Fiji
Maurizio Cirrincione (Senior Member, IEEE) received the “Laurea” degree from the Politecnico di Turino, Turin, 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 Institute on Intelligent Systems for Automation, National Research Council, Rome, Italy. Since 2005, he has been a Full Professor of Control Systems with the University of Technology of Belfort-Montbéliard, Belfort, France. Since April 2014, he has been the Head of the School of Engineering and Physics, The University of the South Pacific, Suva, Fiji. His current research interests are neural networks for modeling 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.
Prof. Cirrincione is a Member of the IRTES Laboratory and the Fuel Cell laboratory, Belfort, France.
Maurizio Cirrincione (Senior Member, IEEE) received the “Laurea” degree from the Politecnico di Turino, Turin, 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 Institute on Intelligent Systems for Automation, National Research Council, Rome, Italy. Since 2005, he has been a Full Professor of Control Systems with the University of Technology of Belfort-Montbéliard, Belfort, France. Since April 2014, he has been the Head of the School of Engineering and Physics, The University of the South Pacific, Suva, Fiji. His current research interests are neural networks for modeling 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.
Prof. Cirrincione is a Member of the IRTES Laboratory and the Fuel Cell laboratory, Belfort, France.View more
Author image of Andrea Tortella
Department of Electrical Engineering, University of Padua, Padua, Italy
Andrea Tortella (Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering from the University of Padova, Padua, Italy, in 1993 and 1998, respectively.
In 1998, he was with the Department of Electrical Engineering, as a Researcher, where since 2011, he has been an Associate Professor. 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 (Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering from the University of Padova, Padua, Italy, in 1993 and 1998, respectively.
In 1998, he was with the Department of Electrical Engineering, as a Researcher, where since 2011, he has been an Associate Professor. 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
Author image of Mauro Andriollo
Department of Electrical Engineering, University of Padua, Padua, Italy
Mauro Andriollo (Member, IEEE) received the M.S. degree in electrical engineering from the University of Padova, Padua, 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, Padua. 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 (Member, IEEE) received the M.S. degree in electrical engineering from the University of Padova, Padua, 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, Padua. 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

References

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