World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
88
Citations
29423
World Ranking
329
National Ranking
154

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Mechanical engineering
  • Voltage

His main research concerns Electronic engineering, Control theory, Stator, Voltage and Electrical engineering. His biological study spans a wide range of topics, including Power engineering, Electric power system and Power factor. His Control theory study combines topics from a wide range of disciplines, such as Fault, Pulse-width modulation and Inverter.

The study incorporates disciplines such as Induction motor, Torque and Rotor in addition to Stator. Thomas G. Habetler interconnects Electric motor and Squirrel-cage rotor in the investigation of issues within Rotor. His Voltage research integrates issues from Algorithm, Digital signal processing and Fault detection and isolation.

His most cited work include:

  • Design and implementation of an inverter output LC filter used for dv/dt reduction (127 citations)
  • A Nonintrusive and In-Service Motor Efficiency Estimation Method using Air-Gap Torque with Considerations of Condition Monitoring (102 citations)
  • An Open-Switch Fault Diagnosis Method for Single-Phase PWM Rectifier Using a Model-Based Approach in High-Speed Railway Electrical Traction Drive System (85 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Stator, Control theory, Induction motor, Rotor and Switched reluctance motor. His work deals with themes such as Control engineering, Torque, Electromagnetic coil, Fault and Condition monitoring, which intersect with Stator. His studies in Control theory integrate themes in fields like Vector control, Direct torque control and Inductance, Voltage.

His work carried out in the field of Induction motor brings together such families of science as Equivalent circuit, DC motor and Electric motor, AC motor. His Rotor research includes themes of Bar, Harmonics and Squirrel-cage rotor. Thomas G. Habetler works mostly in the field of Switched reluctance motor, limiting it down to topics relating to Robustness and, in certain cases, Magnet, as a part of the same area of interest.

He most often published in these fields:

  • Stator (38.62%)
  • Control theory (37.93%)
  • Induction motor (24.83%)

What were the highlights of his more recent work (between 2016-2019)?

  • Switched reluctance motor (19.31%)
  • Stator (38.62%)
  • Rotor (20.69%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Switched reluctance motor, Stator, Rotor, Control theory and Torque. His Switched reluctance motor research is multidisciplinary, incorporating elements of Torque density, Torque ripple, Mathematical optimization, Electronic engineering and Robustness. His Stator research is multidisciplinary, relying on both Permanent magnet synchronous generator, Magnet, Bearing and Electromagnetic coil.

His Control theory research includes elements of Fault, Phasor, Phasor measurement unit and Inductance. Thomas G. Habetler combines subjects such as Control engineering and Mechanical engineering with his study of Torque. His Induction motor study combines topics in areas such as Condition monitoring and Fault detection and isolation.

Between 2016 and 2019, his most popular works were:

  • Modeling, Design Optimization, and Applications of Switched Reluctance Machines—A Review (36 citations)
  • A review of condition monitoring of induction motors based on stray flux (28 citations)
  • Deep Learning Algorithms for Bearing Fault Diagnostics - A Review (16 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Mechanical engineering
  • Transformer

Thomas G. Habetler mainly focuses on Switched reluctance motor, Rotor, Stator, Automotive engineering and Torque ripple. As part of his inquiry into Torque and Control theory, he is doing Switched reluctance motor research. His Torque study integrates concerns from other disciplines, such as Limit, Electronic engineering, Optical switch, Electromagnetic coil and Rotary encoder.

His Stator research focuses on Bearing and how it relates to Condition monitoring, Fault, Current, Bar and Induction motor. His Automotive engineering research is multidisciplinary, incorporating perspectives in Control engineering and Robustness. The various areas that Thomas G. Habetler examines in his Torque ripple study include Artificial neural network, Multi-objective optimization, Particle swarm optimization, Mathematical optimization and Torque density.

Best Publications

  • Multilevel converters for large electric drives

    L.M. Tolbert;Fang Zheng Peng;T.G. Habetler

  • Direct torque control of induction machines using space vector modulation

    T.G. Habetler;F. Profumo;M. Pastorelli;L.M. Tolbert

  • A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors

    Pinjia Zhang;Yi Du;T G Habetler;Bin Lu

  • Deep Learning Algorithms for Bearing Fault Diagnosticsx—A Comprehensive Review

    Shen Zhang;Shibo Zhang;Bingnan Wang;Thomas G. Habetler

  • Novel multilevel inverter carrier-based PWM methods

    L.M. Tolbert;T.G. Habetler

  • Motor bearing damage detection using stator current monitoring

    R.R. Schoen;T.G. Habetler;F. Kamran;R.G. Bartfield

  • A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems

    S. Grubic;J.M. Aller;Bin Lu;T.G. Habetler

  • Multilevel PWM methods at low modulation indices

    L.M. Tolbert;Fang Zheng Peng;T.G. Habetler

  • A Survey of Methods for Detection of Stator-Related Faults in Induction Machines

    R.M. Tallam;Sang Bin Lee;G.C. Stone;G.B. Kliman

  • A space vector-based rectifier regulator for AC/DC/AC converters

    T.G. Habetler

  • Acoustic noise reduction in sinusoidal PWM drives using a randomly modulated carrier

    T.G. Habetler;D.M. Divan

  • Fault classification and fault signature production for rolling element bearings in electric machines

    J.R. Stack;T.G. Habetler;R.G. Harley

  • Transient model for induction machines with stator winding turn faults

    R.M. Tallam;T.G. Habetler;R.G. Harley

  • Effects of time-varying loads on rotor fault detection in induction machines

    R.R. Schoen;T.G. Habetler

  • An unsupervised, on-line system for induction motor fault detection using stator current monitoring

    R.R. Schoen;B.K. Lin;T.G. Habetler;J.H. Schlag

  • A survey of methods for monitoring and detecting thermal runaway of lithium-ion batteries

    Zhenghai Liao;Shen Zhang;Kang Li;Guoqiang Zhang

  • A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix

    Sang Bin Lee;R.M. Tallam;T.G. Habetler

  • An amplitude Modulation detector for fault diagnosis in rolling element bearings

    J.R. Stack;R.G. Harley;T.G. Habetler

  • Detecting Rotor Faults in Low Power Permanent Magnet Synchronous Machines

    W. le Roux;R.G. Harley;T.G. Habetler

  • An on-line stator winding resistance estimation technique for temperature monitoring of line-connected induction machines

    Sang-Bin Lee;T.G. Habetler

Frequent Co-Authors

R.G. Harley
R.G. Harley Georgia Institute of Technology
Sang Bin Lee
Sang Bin Lee Korea University
Leon M. Tolbert
Leon M. Tolbert University of Tennessee at Knoxville
Francesco Profumo
Francesco Profumo Polytechnic University of Turin
Fang Zheng Peng
Fang Zheng Peng University of Pittsburgh
Deepakraj M. Divan
Deepakraj M. Divan Georgia Institute of Technology
Gerald Burt Kliman
Gerald Burt Kliman Rensselaer Polytechnic Institute
Salman Mohagheghi
Salman Mohagheghi Colorado School of Mines
Koon Hoo Teo
Koon Hoo Teo Mitsubishi Electric (United States)
Wei Qiao
Wei Qiao University of Nebraska–Lincoln

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