Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

2021/07/24 by Min Xia, Haidong Shao, Darren Williams +4 · 3 citations
Engineering · #Advanced machining processes and optimization #Gear and Bearing Dynamics Analysis #Machine Fault Diagnosis Techniques

paper · doi:10.1016/j.ress.2021.107938

openalex publication_date 2021/07/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Citations

• A transfer convolutional neural network for fault diagnosis based on ResNet-50
• Applications of machine learning to machine fault diagnosis: A review and roadmap

Cited by

• Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions
• Multi-bearing fault diagnosis method based on convolutional autoencoder causal decoupling domain generalization
• Digital Twin Technologies in Predictive Maintenance: Enabling Transferability via Sim-to-Real and Real-to-Sim Transfer