An analysis of voltage source inverter switches fault classification using short time Fourier transform

TL;DR

This paper proposes a fault classification method for voltage source inverter switches using short-time Fourier transform, achieving high accuracy in identifying various switch faults based on signal analysis.

Contribution

It introduces a novel fault classification approach employing STFT and rule-based classifiers for VSI switches, enhancing fault detection accuracy.

Findings

Achieved 98.3% classification accuracy.

Effectively distinguished short and open circuit faults.

Validated with 60 diverse fault signals.

Abstract

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%.