1. 1D-CNN-based damage identification method based on piezoelectric impedance using adjustable inductive shunt circuitry for data enrichment. (September 2022) Authors: Zhang, Xin; Wang, Hui; Hou, Borui; Xu, Jiawen; Yan, Ruqiang Journal: Structural health monitoring Issue: Volume 21:Number 5(2022) Page Start: 1992 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A deep learning-based approach to material removal rate prediction in polishing. Issue 1 (2017) Authors: Wang, Peng; Gao, Robert X.; Yan, Ruqiang Journal: CIRP annals Issue: Volume 66:Issue 1(2017) Page Start: 429 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. A joint classification-regression method for multi-stage remaining useful life prediction. (January 2021) Authors: Wu, Ji-Yan; Wu, Min; Chen, Zhenghua; Li, Xiaoli; Yan, Ruqiang Journal: Journal of manufacturing systems Issue: Volume 58(2021)Part A Page Start: 109 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. A module-based software system for spindle condition monitoring. (4th September 2009) Authors: Yan, Ruqiang; Gao, Robert X.; Zhang, Li; Lee, Kang B. Journal: International journal of mechatronics and manufacturing systems Issue: Volume 2:Number 5/6(2009) Page Start: 532 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. A multi-time scale approach to remaining useful life prediction in rolling bearing. (15th January 2017) Authors: Qian, Yuning; Yan, Ruqiang; Gao, Robert X. Journal: Mechanical systems and signal processing Issue: Volume 83(2017) Page Start: 549 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. A multi-time scale approach to remaining useful life prediction in rolling bearing. (15th January 2017) Authors: Qian, Yuning; Yan, Ruqiang; Gao, Robert X. Journal: Mechanical systems and signal processing Issue: Volume 83(2017) Page Start: 549 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges. (15th March 2022) Authors: Li, Weihua; Huang, Ruyi; Li, Jipu; Liao, Yixiao; Chen, Zhuyun; He, Guolin; Yan, Ruqiang; Gryllias, Konstantinos Journal: Mechanical systems and signal processing Issue: Volume 167:Part A(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. A sparse auto-encoder-based deep neural network approach for induction motor faults classification. (July 2016) Authors: Sun, Wenjun; Shao, Siyu; Zhao, Rui; Yan, Ruqiang; Zhang, Xingwu; Chen, Xuefeng Journal: Measurement Issue: Volume 89(2016:Jul.) Page Start: 171 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. A sparse auto-encoder-based deep neural network approach for induction motor faults classification. (July 2016) Authors: Sun, Wenjun; Shao, Siyu; Zhao, Rui; Yan, Ruqiang; Zhang, Xingwu; Chen, Xuefeng Journal: Measurement Issue: Volume 89(2016:Jul.) Page Start: 171 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Adaptive sparse denoising and periodicity weighted spectrum separation for compound bearing fault diagnosis. (25th May 2021) Authors: Meng, Jing; Wang, Hui; Zhao, Liye; Yan, Ruqiang Journal: Measurement science & technology Issue: Volume 32:Number 8(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗