Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges Y Xu, S Kohtz, J Boakye, P Gardoni, P Wang Reliability Engineering & System Safety 230, 108900, 2023 | 118 | 2023 |
Physics-informed machine learning model for battery state of health prognostics using partial charging segments S Kohtz, Y Xu, Z Zheng, P Wang Mechanical Systems and Signal Processing 172, 109002, 2022 | 54 | 2022 |
A Gaussian process-based crack pattern modeling approach for battery anode materials design Z Zheng, B Chen, Y Xu, N Fritz, Y Gurumukhi, J Cook, MN Ates, ... Journal of Electrochemical Energy Conversion and Storage 18 (1), 011011, 2021 | 29 | 2021 |
Probabilistic modeling and reliability-based design optimization of a ground source heat pump system Z Zhao, Y Xu, YF Lin, X Wang, P Wang Applied Thermal Engineering 197, 117341, 2021 | 26 | 2021 |
Adaptive surrogate models with partially observed information Y Xu, A Renteria, P Wang Reliability Engineering & System Safety 225, 108566, 2022 | 19 | 2022 |
Uncertainty quantification analysis on mechanical properties of the structured silicon anode via surrogate models Z Zheng, Y Xu, P Wang Journal of The Electrochemical Society 168 (4), 040508, 2021 | 18 | 2021 |
A comparison of numerical optimizers in developing high dimensional surrogate models Y Xu, P Wang International Design Engineering Technical Conferences and Computers and …, 2019 | 14 | 2019 |
Adaptive surrogate models for uncertainty quantification with partially observed information Y Xu, P Wang AIAA SCITECH 2022 Forum, 1439, 2022 | 12 | 2022 |
An enhanced squared exponential kernel with Manhattan similarity measure for high dimensional Gaussian process models Y Xu, P Wang International Design Engineering Technical Conferences and Computers and …, 2021 | 11 | 2021 |
Hall-effect sensor design with physics-informed Gaussian process modeling Y Xu, AV Lalwani, K Arora, Z Zheng, A Renteria, DG Senesky, P Wang IEEE Sensors Journal 22 (23), 22519-22528, 2022 | 10 | 2022 |
Sequential sampling based reliability analysis for high dimensional rare events with confidence intervals Y Xu, P Wang International Design Engineering Technical Conferences and Computers and …, 2020 | 10 | 2020 |
Adaptive machine learning with physics-based simulations for mean time to failure prediction of engineering systems H Wu, Y Xu, Z Liu, Y Li, P Wang Reliability Engineering & System Safety 240, 109553, 2023 | 9 | 2023 |
CVaR formulation of reliability-based design problems considering the risk of extreme failure events Y Xu, P Wang 2021 Annual Reliability and Maintainability Symposium (RAMS), 1-5, 2021 | 9 | 2021 |
Hybrid adaptive sequential sampling for reliability-based design optimization Y Xu University of Illinois at Urbana-Champaign, 2019 | 9 | 2019 |
Rare event estimation of high dimensional problems with confidence intervals Y Xu, P Wang IIE Annual Conference. Proceedings, 31A-36A, 2020 | 8 | 2020 |
Gaussian process based crack initiation modeling for design of battery anode materials Z Zheng, Y Xu, B Chen, P Wang International Design Engineering Technical Conferences and Computers and …, 2019 | 7 | 2019 |
Optimal sensor placement for permanent magnet synchronous motor condition monitoring using a digital twin-assisted fault diagnosis approach S Kohtz, J Zhao, A Renteria, A Lalwani, Y Xu, X Zhang, KS Haran, ... Reliability Engineering & System Safety 242, 109714, 2024 | 5 | 2024 |
Multi-Task Learning for Design Under Uncertainty With Multi-Fidelity Partially Observed Information Y Xu, H Wu, Z Liu, P Wang, Y Li Journal of Mechanical Design 146 (8), 081704, 2024 | 4 | 2024 |
Hall Effect Sensor Design Optimization With Multi-Physics Informed Gaussian Process Modeling Y Xu, Z Zheng, K Arora, DG Senesky, P Wang International Design Engineering Technical Conferences and Computers and …, 2022 | 4 | 2022 |
Data-Driven Control Co-Design for Indirect Liquid Cooling Plate With Microchannels for Battery Thermal Management Z Liu, Y Xu, H Wu, P Wang, Y Li International Design Engineering Technical Conferences and Computers and …, 2023 | 3 | 2023 |