Global Convolutional Network and Sample Imbalance Loss for the Robust Gear Fault Diagnosis of Reciprocating Manipulator

Author:

Jiang Yilin,Zhou Xiao,Wang Manyi,Chen Tianming,Chen Longmiao

Publisher

Elsevier BV

Reference34 articles.

1. Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery;D Cabrera;IEEE Access,2019

2. Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis;Y Li;IEEE Trans. Neural Netw. Learning Syst,2024

3. A Lightweight Gear Fault Diagnosis Method Based on Attention Mechanism and Multilayer Fusion Network;M Wang;IEEE Trans. Instrum. Meas,2024

4. Bearing Corrosion Failure Diagnosis of Doubly Fed Induction Generator in Wind Turbines Based on Stator Current Analysis;X Chen;IEEE Trans. Ind. Electron,2020

5. Bearing Fault Detection in Adjustable Speed Drive-Powered Induction Machine by Using Motor Current Signature Analysis and Goodness-of-Fit Tests;V Avina-Corral;IEEE Trans. Ind. Inf,2021

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