Lightweight rolling bearing fault diagnosis via multi-teacher knowledge distillation
Transactions of the Institute of Measurement and Control
Published online on September 18, 2025
Abstract
Transactions of the Institute of Measurement and Control, Volume 48, Issue 12, Page 3402-3413, August 2026.
To address the challenges of deploying deep learning models in resource-constrained environments and to ensure the compatibility between diagnostic accuracy and compression ratio, we propose a lightweight Multi-Teacher Knowledge Distillation Fault ...
To address the challenges of deploying deep learning models in resource-constrained environments and to ensure the compatibility between diagnostic accuracy and compression ratio, we propose a lightweight Multi-Teacher Knowledge Distillation Fault ...