Transfer Learning‐Based Domain‐Adaptive One‐Dimensional Convolutional Neural Network for Fault Diagnosis of Rotating Machines

Transfer Learning‐Based Domain‐Adaptive One‐Dimensional Convolutional Neural Network for Fault Diagnosis of Rotating Machines

ABSTRACT In recent years, deep learning models, particularly one‐dimensional convolutional networks (1‐D CNNs), have shown significant potential for fault diagnosis of rotating machines. However, existing methods often struggle to generalize to real‐time data and lack adaptability across different o...

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Bibliographic Details
Main Authors: Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Engineering Reports
Subjects:
domain adaptation
fault diagnosis
one‐dimensional convolutional neural network
rotating machines
transfer learning
vibration analysis
Online Access:https://doi.org/10.1002/eng2.70258
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