Fault detection and diagnosis on a PWM inverter by different techniques

Abstract EN

his paper investigates the use of different techniques for fault detection in voltage-fed asynchronous machine drive systems.

With the proposed techniques it is possible to detect and identify the power switch in which the fault has occurred.

A diagnosis system which uses only the input variables of the drive is presented.

It is based on the analysis of the current-vector trajectory, of the instantaneous frequency in faulty mode, and the evaluation of machine state variables which are processed due to the machine control algorithm.

With this algorithm a fast an reliable fault detection can be realized.

Furthermore limited drive operation in case of a fault mode will be discussed.

All obtained results are based on computer simulation.

These knowledge based methods have been test in simulation Keywords - Inverter, fault detection, diagnosis, control, Concordia transform, discrete Fourier analysis