The automatic selection of an optimal wavelet filter and its enhancement by the new sparsogram for bearing fault detection: Part 2 of the two related manuscripts that have a joint title as Two automatic vibration-based fault diagnostic methods using the novel sparsity measurementParts 1 and 2
A new optimal wavelet filter based on genetic algorithm is designed. Optimal parameters of complex Morlet wavelet can be automatically determined. Convergence of optimal Morlet filter has been enhanced by a new sparsogram. Sparsity measurement value is maximized by genetic algorithm. A non-linear function is introduced to depress noise that is embedded in the inspected signals.
sparsogram sparsity measurement genetic algorithm rolling element bearings fault diagnosis morlet wavelet filter