IGBT fault detection for three phase motor drives using neural networks
Date of Issue2012
IEEE Conference on Emerging Technologies & Factory Automation (17th : 2012 : Krakow, Poland)
School of Electrical and Electronic Engineering
Singapore Institute of Manufacturing Technology
Motor drives are widely used in industry for controlling the speed of three phase AC motors. Faults in motor drives degrade motor performance and can cause catastrophic failures. IGBT (Insulated Gate Bipolar Transistor) switch faults are one of the main roots of electrical faults in inverters and motor drives. In this paper, a method based on neural network is implemented to detect and isolate switch faults in a three phase voltage source inverter. Only the output signals of the inverter are monitored. The entropy of the phase current and voltage is selected as the switch fault feature. Single and multiple short and open circuit switch faults are isolable with this method.
DRNTU::Engineering::Electrical and electronic engineering
© 2012 IEEE