Application of Spectral and Wavelet Analysis in Power Train System Diagnostic 2010-01-0250
In this paper the application of spectral and wavelet analyses in power train
system diagnostics were shown. The main goal of investigations was a comparison
of changes of selected values measured by accelerometer installed in the car
body during particularly designed road test. The investigation object was
passenger car and the experiments were performed with use of special measuring
device. The logged data were analyzed using amplitude spectrum and short time
Fourier transform (STFT) algorithms implemented in Scilab software. The
transformed data were compared with continuous wavelet transforms (CWT), which
were obtained with use of Morlet's and Mexican hat analyzing wavelets. The
advantages and disadvantages this transforms were discussed. As main effect of
investigations it can be concluded, that the STFT and CWT algorithms can provide
more diagnostics information then the other transforms.