1. A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines. (1st February 2019) Authors: Jiang, Xingxing; Wang, Jun; Shi, Juanjuan; Shen, Changqing; Huang, Weiguo; Zhu, Zhongkui Journal: Mechanical systems and signal processing Issue: Volume 116(2019) Page Start: 668 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A computer-vision-based rotating speed estimation method for motor bearing fault diagnosis. (27th April 2017) Authors: Wang, Xiaoxian; Guo, Jie; Lu, Siliang; Shen, Changqing; He, Qingbo Journal: Measurement science & technology Issue: Volume 28:Number 6(2017:Jun.) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. A higher-order moment matching based fine-grained adversarial domain adaptation method for intelligent bearing fault diagnosis. (1st May 2022) Authors: Wang, Rui; Huang, Weiguo; Shi, Juanjuan; Wang, Jun; Shen, Changqing; Zhu, Zhongkui Journal: Measurement science & technology Issue: Volume 33:Number 5(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery. (June 2017) Authors: You, Wei; Shen, Changqing; Guo, Xiaojie; Jiang, Xingxing; Shi, Juanjuan; Zhu, Zhongkui Journal: Advances in mechanical engineering Issue: Volume 9:Number 6(2017:Jun.) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. A lightweight and robust model for engineering cross-domain fault diagnosis via feature fusion-based unsupervised adversarial learning. (December 2022) Authors: Chen, Qitong; Chen, Liang; Li, Qi; Shi, Juanjuan; Zhu, Zhongkui; Shen, Changqing Journal: Measurement Issue: Volume 205(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions. (May 2020) Authors: Zhu, Jun; Chen, Nan; Shen, Changqing Journal: Mechanical systems and signal processing Issue: Volume 139(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. A New Generative Neural Network for Bearing Fault Diagnosis with Imbalanced Data. (10th December 2020) Authors: You, Wei; Shen, Changqing; Chen, Liang; Que, Hongbo; Huang, Weiguo; Zhu, Zhongkui Other Names: Gjorgjevikj Dejan Academic Editor. Journal: Shock and vibration Issue: Volume 2020(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. A new l0-norm embedded MED method for roller element bearing fault diagnosis at early stage of damage. (October 2018) Authors: Jiang, Xingxing; Cheng, Xu; Shi, Juanjuan; Huang, Weiguo; Shen, Changqing; Zhu, Zhongkui Journal: Measurement Issue: Volume 127(2018) Page Start: 414 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. A new meta-transfer learning method with freezing operation for few-shot bearing fault diagnosis. (1st July 2023) Authors: Wang, Peiqi; Li, Jingde; Wang, Shubei; Zhang, Fusheng; Shi, Juanjuan; Shen, Changqing Journal: Measurement science & technology Issue: Volume 34:Number 7(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. A new transferable bearing fault diagnosis approach with adaptive manifold embedded distribution alignment. (14th December 2020) Authors: Lei, Piao; Shen, Changqing; Zhu, Jun; Wang, Dong; Jiang, Xingxing; Zhu, Zhongkui Journal: Measurement science & technology Issue: Volume 32:Number 3(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗