I ask you to help me to interpret this figure corresponding to a diagnosis of gear failure using CWT (Haar); I have already worked on the analysis of the vibratory signals using the FFT; But since the signals from the bearings and the gears are non-stationary it is considered necessary to apply WT. So I started with simulated signals of gear failures to evaluate the sensitivity of this method compared to that of Fourrier
I've been working on this area for a while. The wavelet transform is a more powerful tool for time-frequency (TF) & feature extraction since the FFT or STFT always suffers from the resolution issues in TF domain. As a starter, I think the short videos provided in MATLAB is a very good point to start with. I paste the 1st part here and you can also find the rest parts from it.