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.
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