1. A lightweight model for train bearing fault diagnosis based on multiscale attentional feature fusion. (1st February 2023) Authors: He, Changfu; He, Deqiang; Lao, Zhenpeng; Wei, Zexian; Xiang, Zaiyu; Xiang, Weibin Journal: Measurement science & technology Issue: Volume 34:Number 2(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Brake uneven wear of high-speed train intelligent monitoring using an ensemble model based on multi-sensor feature fusion and deep learning. (July 2022) Authors: Zhang, Min; Zhang, Xunjie; Mo, Jiliang; Xiang, Zaiyu; Zheng, Pengwei Journal: Engineering failure analysis Issue: Volume 137(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Diagnosis of brake friction faults in high-speed trains based on 1DCNN and GraphSAGE under data imbalance. (15th February 2023) Authors: Zhang, Min; Li, Xianjun; Xiang, Zaiyu; Mo, Jiliang; Xu, Shihao Journal: Measurement Issue: Volume 207(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Research on diagnosis algorithm of mechanical equipment brake friction fault based on MCNN-SVM. (December 2021) Authors: Zhang, Xunjie; Zhang, Min; Xiang, Zaiyu; Mo, Jiliang Journal: Measurement Issue: Volume 186(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗