Dr. Habetler is most well known for his work in sensorless (current- and voltage-based) condition monitoring of electric machines. This includes sensorless bearing fault detection, turn-to-turn insulation fault detection and rotating mechanical fault/unbalance detection. Practical, low cost on-line motor monitoring has been achieved in his work though the use of neural network-based systems that eliminate the need for maintenance experts to interpret the data. This has led to a significant amount of research in neural network applications in power electronics. Other research areas include speed-sensorless direct torque control of ac machines, sensorless speed estimation, sensorless temperature estimation, and controlled rectifiers.
