Fault Diagnosis of a Bogie Gearbox Based on Pied Kingfisher Optimizer-Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Improved Multi-Scale Weighted Permutation Entropy, and Starfish Optimization Algorithm–Least-Squares Support Vector Machine

Current methods of detecting bogie gearbox faults mainly depend on manual judgment, which leads to inaccurate fault identification. In this study, a fault diagnosis model is proposed based on a pied kingfisher optimizer-improved complete ensemble empirical mode decomposition with adaptive noise (PKO...

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Bibliographic Details

Published in:	Entropy
Main Authors:	Guangjian Zhang, Shilun Ma, Xulong Wang
Format:	Article
Language:	English
Published:	MDPI AG 2025-08-01
Subjects:	bogie gearbox fault diagnosis PKO-ICEEMDAN IMWPE SFOA-LSSVM
Online Access:	https://www.mdpi.com/1099-4300/27/9/905