Remaining useful life prediction of lithium-ion batteries using neural network and bat-based particle filter Y Wu, W Li, Y Wang, K Zhang IEEE access 7, 54843-54854, 2019 | 110 | 2019 |
Analysis of manufacturing-induced defects and structural deformations in lithium-ion batteries using computed tomography Y Wu, S Saxena, Y Xing, Y Wang, C Li, WKC Yung, M Pecht Energies 11 (4), 925, 2018 | 88 | 2018 |
Ultrasonic health monitoring of lithium-ion batteries Y Wu, Y Wang, WKC Yung, M Pecht Electronics 8 (7), 751, 2019 | 73 | 2019 |
Multiple parametric faults diagnosis for power electronic circuits based on hybrid bond graph and genetic algorithm Y Wu, Y Wang, Y Jiang, Q Sun Measurement 92, 365-381, 2016 | 38 | 2016 |
Fault prognostic of electronics based on optimal multi-order particle filter Y Jiang, Y Wang, Y Wu, Q Sun Microelectronics Reliability 62, 167-177, 2016 | 18 | 2016 |
A Prognostic method for DC-DC converters under variable operating conditions Y Wu, Y Wang, Y Jiang, Q Sun 2014 International Conference on Prognostics and Health Management, 1-7, 2014 | 10 | 2014 |
On-line component-level soft fault diagnostics for power converters Q Sun, Y Wang, Y Jiang, Y Wu 2016 Prognostics and System Health Management Conference (PHM-Chengdu), 1-5, 2016 | 9 | 2016 |
A fault prediction method for closed-loop SEPIC converters under variable operating conditions Y Jiang, Y Wang, Q Sun, Y Wu 2016 Prognostics and System Health Management Conference (PHM-Chengdu), 1-7, 2016 | 6 | 2016 |
Online Capacity Estimation for Lithium-Ion Batteries Based on Semi-Supervised Convolutional Neural Network Y Wu, W Li World Electric Vehicle Journal 12 (4), 256, 2021 | 2 | 2021 |
Fuel Rate Prediction for Heavy-Duty Trucks L Liu, W Li, D Wang, Y Wu, R Yang, W Shi IEEE Transactions on Intelligent Transportation Systems, 2023 | 1 | 2023 |
Robust 3D Surface Reconstruction in Real-Time with Localization Sensor W Li, Y Wu, C Shen, H Gong IEICE TRANSACTIONS on Information and Systems 101 (8), 2168-2172, 2018 | | 2018 |