| Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity Y Wen, J Wu*, D Das, TLB Tseng Reliability Engineering & System Safety 176, 113-124, 2018 | 116 | 2018 |
| A neural network-based joint prognostic model for data fusion and remaining useful life prediction Y Gao, Y Wen, J Wu IEEE transactions on neural networks and learning systems 32 (1), 117-127, 2020 | 56 | 2020 |
| A new fuzzy c-means clustering-based time series segmentation approach and its application on tunnel boring machine analysis X Song, M Shi, J Wu, W Sun Mechanical Systems and Signal Processing 133, 106279, 2019 | 55 | 2019 |
| Multiple Phase Modeling of Degradation Signal for Condition Monitoring and Remaining Useful Life Prediction Y Wen, J Wu*, Y Yuan IEEE Transactions on Reliability, 2017 | 54 | 2017 |
| Online Steady-state Detection for Process Control Using Multiple Change-point Models and Particle Filters J Wu, Y Chen, S Zhou*, X Li IEEE Transactions on Automation Science and Engineering, 2015 | 44 | 2015 |
| A shape-constrained neural data fusion network for health index construction and residual life prediction Z Li, J Wu, X Yue IEEE Transactions on Neural Networks and Learning Systems 32 (11), 5022-5033, 2020 | 40 | 2020 |
| Multiple-change-point modeling and exact Bayesian inference of degradation signal for prognostic improvement Y Wen, J Wu, Q Zhou, TL Tseng IEEE Transactions on Automation Science and Engineering 16 (2), 613-628, 2018 | 37 | 2018 |
| Acoustic Emission Monitoring for Ultrasonic Cavitation Based Dispersion Process J Wu, S Zhou*, X Li ASME Transactions, Journal of Manufacturing Science and Engineering 135 (3 …, 2013 | 37 | 2013 |
| Friction, slip and structural inhomogeneity of the buried interface Y Dong, Q Li, J Wu, A Martini* Modelling and Simulation in Materials Science and Engineering 19 (6), 065003, 2011 | 29 | 2011 |
| Spatial rank-based high-dimensional monitoring through random projection C Zhang, N Chen, J Wu Journal of Quality Technology 52 (2), 111-127, 2020 | 27 | 2020 |
| Ultrasonic Attenuation Based Inspection Method for Scale-up Production of A206–Al2O3 Metal Matrix Nanocomposites J Wu, S Zhou*, X Li ASME Transactions, Journal of Manufacturing Science and Engineering 137 (1 …, 2015 | 24 | 2015 |
| Online detection of steady-state operation using a multiple-change-point model and exact Bayesian inference J Wu, Y Chen, S Zhou* IIE Transactions, 2015 | 23 | 2015 |
| Neural network Gaussian process considering input uncertainty for composite structure assembly C Lee, J Wu, W Wang, X Yue IEEE/ASME Transactions on Mechatronics 27 (3), 1267-1277, 2020 | 17 | 2020 |
| Partitioned active learning for heterogeneous systems C Lee, K Wang, J Wu, W Cai, X Yue Transactions of ASME, Journal of Computing and Information Science in …, 2023 | 15 | 2023 |
| Failure-averse active learning for physics-constrained systems C Lee, X Wang, J Wu, X Yue IEEE Transactions on Automation Science and Engineering, 2022 | 14 | 2022 |
| A genetic programming-based iterative approach for the integrated process planning and scheduling problem X Zhu, X Guo, W Wang, J Wu IEEE Transactions on Automation Science and Engineering 19 (3), 2566-2580, 2021 | 14 | 2021 |
| Bayesian Hierarchical Linear Modeling of Profile Data With Applications to Quality Control of Nanomanufacturing J Wu*, Y Liu, S Zhou IEEE Transactions on Automation Science and Engineering, 2016 | 14 | 2016 |
| Microstructure Modelling and Ultrasonic Wave Propagation Simulation of A206-Al2O3 Metal Matrix Nanocomposites for Quality Inspection Y Liu, J Wu, S Zhou*, X Li ASME, Journal of Manufacturing Science and Engineering, 2015 | 13 | 2015 |
| A deep branched network for failure mode diagnostics and remaining useful life prediction Z Li, Y Li, X Yue, E Zio, J Wu IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 12 | 2022 |
| Inferring 3D ellipsoids based on cross-sectional images with applications to porosity control of additive manufacturing J Wu, Y Yuan, H Gong, TL Tseng IISE Transactions 50 (7), 570-583, 2018 | 12 | 2018 |
Bill TsengUniversity of Texas at El Paso在 utep.edu 的电子邮件经过验证
