Time-Frequency analysis for wiring soft faults detection
Ihssane Bzikha, Christophe Guiffaut, Alain Reineix
Abstract
Ihssane Bzikha, Christophe Guiffaut, Alain Reineix
Abstract
Time-Frequency signal analysis represents the function in both time and frequency domains by the calculation of the spectrum at regular intervals of time. Moreover, Time-Frequency analysis is based on Fourier Transform. There are several Time-Frequency distribution functions such as Short-Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), and Wigner Ville Transform (WVT). This article focuses on chafed faults detection by using STFT, CWT, and WVT. Finally, a comparison of these approaches' performances is made.
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Time-Frequency signal analysis represents the function in both time and frequency domains by the calculation of the spectrum at regular intervals of time. Moreover, Time-Frequency analysis is based on Fourier Transform. There are several Time-Frequency distribution functions such as Short-Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), and Wigner Ville Transform (WVT). This article focuses on chafed faults detection by using STFT, CWT, and WVT. Finally, a comparison of these approaches' performances is made.
Key concepts: Short-time Fourier transform, Time–frequency analysis, Constant Q transform, Continuous wavelet transform, Harmonic wavelet transform, Fourier transform, Computer science, Wigner distribution function