  The dependability of power electronics systems, such as three-phase
inverters, is critical in a variety of applications. Different types of
failures that occur in an inverter circuit might affect system operation and
raise the entire cost of the manufacturing process. As a result, detecting and
identifying inverter problems for such devices is critical in industry. This
study presents the short-time Fourier transform (STFT) for fault classification
and identification in three-phase type, voltage source inverter (VSI) switches.
Time-frequency representation (TFR) represents the signal analysis of STFT,
which includes total harmonic distortion, instantaneous RMS current, RMS
fundamental current, total non harmonic distortion, total waveform distortion
and average current. The features of the faults are used with a rule-based
classifier based on the signal parameters to categorise and detect the switch
faults. The suggested method's performance is evaluated using 60 signals
containing short and open circuit faults with varying characteristics for each
switch in VSI. The classification results demonstrate the proposed technique is
good to be implemented for VSI switches faults classification, with an accuracy
classification rate of 98.3%.
