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
Xiaohui Gu (2021). Negentropy-induced MOGWO (https://www.mathworks.com/matlabcentral/fileexchange/74529-negentropy-induced-mogwo), MATLAB Central File Exchange. Retrieved .
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!