Wen-Jiun Yap

Data-driven ensemble deep learning approach for rolling bearing failures monitoring using multiple source data

This study presents the first ensemble of CNN, DBN and SAE for bearing fault diagnosis under variable-speed conditions, and provides a reliable and scalable solution for real-world machinery health monitoring.