Pregled bibliografske jedinice broj: 1168278
An analysis of voltage source inverter switches fault classification using short time Fourier transformation
An analysis of voltage source inverter switches fault classification using short time Fourier transformation // International Journal of Power Electronics and Drive Systems (IJPEDS, 12 (2021), 4; 2209-2220 doi:10.11591/ijpeds.v12.i4.pp2209-2220 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1168278 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An analysis of voltage source inverter switches
fault classification using short time Fourier
transformation
Autori
Mustafa, Manap ; Nikolovski, Srete ; Aleksandr, Skamyin ; Rony, Karim4 ; Tole, Sutikno ; Mohd, Hatta, Jopri ;
Izvornik
International Journal of Power Electronics and Drive Systems (IJPEDS (2088-8694) 12
(2021), 4;
2209-2220
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Open circuit fault, Rule-based classifier, Short circuit fault, Short time Fourier transform, Voltage source inverter
Sažetak
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%
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Srete Nikolovski
(autor)