Informative frequency band (IFB) selection is a challenging task in envelope analysis for localized fault detection of bearings. To solve this problem, a negentropy-induced multi-objective optimized wavelet filter is proposed using MOGWO.

Thanks to Seyedali Mirjalili for the codes of MOGWO (https://www.mathworks.com/matlabcentral/fileexchange/55979-multi-objective-grey-wolf-optimizer-mogwo).

Refference: Gu X, Yang S, Liu Y, et al. Multi-Objective Informative Frequency Band Selection Based on Negentropy-Induced Grey Wolf Optimizer for Fault Diagnosis of Rolling Element Bearings. Sensors 2020, 20(7), 1845. https://doi.org/10.3390/s20071845