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Negentropy-induced MOGWO

version 1.0.2 (92.1 KB) by Xiaohui Gu
Negentropy-induced MOGWO for IFB selection in bearing fault diagnosis

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Updated 28 Mar 2020

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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

Cite As

Xiaohui Gu (2021). Negentropy-induced MOGWO (https://www.mathworks.com/matlabcentral/fileexchange/74529-negentropy-induced-mogwo), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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