Partial Discharge
- J. Yeo, H. Jin, A. Rodrigo Mor, C. Yuen, N. Pattanadech, W. Tushar, T. K. Saha, and C. S. Ng, Localisation of Partial Discharge in Power Cables Through Multi-Output Convolutional Recurrent Neural Network and Feature Extraction, IEEE Transactions on Power Delivery, June 2022.
- J. Yeo, H. Jin, A. R. Mor, C. Yuen, W. Tushar, T. K. Saha, C. S. Ng, Identification of Partial Discharge Through Cable-Specific Adaption and Neural Network Ensemble, IEEE Transactions on Power Delivery, vol. 37, June 2022, pp. 1598-1607.
Li-ion Battery SoC and SoH
- K. Q. Zhou, Y. Qin, C. Yuen, Lithium-ion Battery State of Health Estimation by Matrix Profile Empowered Online Knee Onset Identification, IEEE Transactions on Transportation Electrification, March 2023. [PDF]
- Y. Qin, A. Arunan, C. Yuen, Digital Twin for Real-time Li-ion Battery State of Health Estimation with Partially Discharged Cycling Data, IEEE TII Special issue on Digital Twin for Industrial Internet of Things, vol. 19, May 2023, pp. 7247-7257. [PDF]
- Y. Qin, C. Yuen, A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation, IEEE TII, vol. 19, Feb 2023, pp. 1933-1946. [PDF]
- K. Q. Zhou, Y. Qin, C. Yuen, Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization, IEEE/ASME Transactions on Mechatronics, vol. 28, Apr 2023, pp. 692-702. [PDF]
- Y. Qin, S. Adams, C. Yuen, A Transfer Learning-based State of Charge Estimation for Lithium-Ion Battery at Varying Ambient Temperatures, IEEE TII, vol. 17, Nov 2021, pp. 7304-7315. [PDF]
Machinery, Heat Pump, Relay
- Y. Qin, W.-T. Li, C. Yuen, W. Tushar, T. Saha, IIoT-Enabled Health Monitoring for Integrated Heat Pump System Using Mixture Slow Feature Analysis, IEEE TII, vol. 18, July 2022, pp. 4725-4736. [PDF]
- Y. Qin, C. Yuen, Y. Shao, B. Qin, X. Li, Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation, IEEE Transactions on Cybernetics, vol. 53, Jan 2023, pp. 592-606. [PDF]
- C. Gamanayake, Y. Qin, C. Yuen, L. Jayasinghe, D.-E. Tan, and J. Low, Hybrid Deep Learning Model Based Remaining Useful Life Estimation for Reed Relays with Degradation Pattern Clustering, IEEE TII, vol. 19, June 2023, pp, 7401-7413. [PDF]
- X. Zhang, Y. Qin, C. Yuen, L. Jayasinghe, X. Liu, Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation, IEEE TII, Dec 2020. [PDF]
PCB and Image based
- H. Jayasekara, Q. Zhang, C. Yuen, M. Zhang, C.-W. Woo, J. Low, Detecting Anomalous Solder Joints in Multi-Sliced PCB X-Ray Images: A Deep Learning Based Approach, SN Computer Science, March 2023.
- Q. Zhang, M. Zhang, C. Gamanayake, C. Yuen, Z. Geng, H. Jayasekara, C.-W. Woo, J. Low, X. Liu, Y. L. Guan, Deep Learning Based Solder Joint Defect Detection on Industrial Printed Circuit Board X-Ray Images, Complex & Intelligent Systems, Jan 2022.
- C. Gamanayake, L. Jayasinghe, B. Ng, C. Yuen, Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications, IEEE JSTSP, vol. 14, May 2020, pp. 802-816. [PDF]
- L. Jayasinghe, N. Wijerathne, C. Yuen, M. Zhang, Feature Learning and Analysis for Cleanliness Classification in Restrooms, IEEE Access, vol. 7, Jan 2019, pp. 14871-14882.