An integrated deep learning model with reinforcement learning for rolling bearing fault diagnosis under small-sample conditions
Journal of Vibration and Control
Published online on March 05, 2026
Abstract
Journal of Vibration and Control, Ahead of Print.
This paper tackles the challenge of accurately diagnosing rolling bearing faults under limited data conditions by introducing an integrated deep learning framework that synergistically combines Temporal Convolutional Networks (TCN), Bidirectional Gated ...
This paper tackles the challenge of accurately diagnosing rolling bearing faults under limited data conditions by introducing an integrated deep learning framework that synergistically combines Temporal Convolutional Networks (TCN), Bidirectional Gated ...