Adversarial deep transfer learning in fault diagnosis: progress, challenges, and future prospects
Y Guo, J Zhang, B Sun, Y Wang - Sensors, 2023 - mdpi.com
Deep Transfer Learning (DTL) signifies a novel paradigm in machine learning, merging the
superiorities of deep learning in feature representation with the merits of transfer learning in …
superiorities of deep learning in feature representation with the merits of transfer learning in …
A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: limitations and challenges
Over the last decade, thousands of papers on machine-learning for diagnosing faults in
rotating machinery through vibration signals have been published. Specifically, deep …
rotating machinery through vibration signals have been published. Specifically, deep …