Rolling Bearing Fault Diagnosis Based on Whale Optimization Algorithm—Auto-Reassigning Transform and Improved DenseNet

Siyu Chen; Fangze Shang; Hongliang Sun; Hui Chen; Jie Ma

doi:10.1007/s40430-025-05989-w

ScienceGate Book Chapters

JOURNAL ARTICLE

Rolling Bearing Fault Diagnosis Based on Whale Optimization Algorithm—Auto-Reassigning Transform and Improved DenseNet

Siyu Chen Fangze Shang Hongliang Sun Hui Chen Jie Ma

Year: 2025 Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering Vol: 48 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s40430-025-05989-w

Get Full-Text PDF Get Analytical Report

Keywords:

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Rolling Bearing Fault Diagnosis Based on Whale Optimization Algorithm—Auto-Reassigning Transform and Improved DenseNet

Metrics

Topics

Related Documents

Research on rolling bearing fault diagnosis based on improved beluga whale optimization algorithm

Rolling bearing fault diagnosis based on improved whale-optimization- algorithm–variational-mode-decomposition method

Bearing Fault Diagnosis Based on Stochastic Resonance and Improved Whale Optimization Algorithm

A ROLLING BEARING FAULT DIAGNOSIS METHOD BASED ON EXTREME LEARNING MACHINE OPTIMIZED BY IMPROVED WHALE OPTIMIZATION ALGORITHM

An improved rolling bearing fault diagnosis method using DenseNet-BLSTM