| Data cleaning in the process industries S Xu, B Lu, M Baldea, TF Edgar, W Wojsznis, T Blevins, M Nixon Reviews in Chemical Engineering 31 (5), 453-490, 2015 | 120 | 2015 |
| Reinforcement learning approach to autonomous PID tuning O Dogru, K Velswamy, F Ibrahim, Y Wu, AS Sundaramoorthy, B Huang, ... Computers & Chemical Engineering 161, 107760, 2022 | 72 | 2022 |
| An optimization-based framework to define the probabilistic design space of pharmaceutical processes with model uncertainty D Laky, S Xu, JS Rodriguez, S Vaidyaraman, S García Muñoz, C Laird Processes 7 (2), 96, 2019 | 41 | 2019 |
| An improved variable selection method for support vector regression in NIR spectral modeling S Xu, B Lu, M Baldea, TF Edgar, M Nixon Journal of Process Control 67, 83-93, 2018 | 36 | 2018 |
| Root cause diagnosis of plant-wide oscillations based on information transfer in the frequency domain S Xu, M Baldea, TF Edgar, W Wojsznis, T Blevins, M Nixon Industrial & Engineering Chemistry Research 55 (6), 1623-1629, 2016 | 25 | 2016 |
| An improved methodology for outlier detection in dynamic datasets S Xu, M Baldea, TF Edgar, W Wojsznis, T Blevins, M Nixon AIChE Journal 61 (2), 419-433, 2015 | 24 | 2015 |
| Constrained selective dynamic time warping of trajectories in three dimensional batch data B Lu, S Xu, J Stuber, TF Edgar Chemometrics and Intelligent Laboratory Systems 159, 138-150, 2016 | 20 | 2016 |
| Outlier Detection in Dynamic Systems with Multiple Operating Points and Application to Improve Industrial Flare Monitoring S Xu, B Lu, N Bell, M Nixon Processes 5 (2), 28, 2017 | 11 | 2017 |
| Numerical study of the gas-liquid two-phase flow in a self-designed mixer for a Ga-R113 MHD system P Lu, X Zheng, L Fang, H Huang, S Xu, Y Yu Energies 10 (10), 1629, 2017 | 4 | 2017 |
| Process variability reduction in flow control and wedge flowmeter performance evaluation S Xu, M Nixon, J Beall, D Wiklund, M Peluso Control Engineering Practice 110, 104780, 2021 | 1 | 2021 |
| General reinforcement learning framework for process monitoring and anomaly/ fault detection S Xu, MJ Nixon US Patent US20240119342A1, 2024 | | 2024 |
| Process Fault Detection based on Time‐Explicit Kiviat Diagram S Xu, M Nixon, RC Wang, M Baldea Artificial Intelligence in Process Fault Diagnosis: Methods for Plant …, 2024 | | 2024 |
| Suspicious control valve performance detection S Xu, J Beall, MJ Nixon US Patent US20230384757A1, 2023 | | 2023 |
| Framework for Suppressing Transient Fault Alarms Online S Xu, M Nixon Computer Aided Chemical Engineering 49, 1549-1554, 2022 | | 2022 |
| Process controller design with process approximation and lambda tuning S Xu, MJ Nixon, J Beall, TL Blevins, T Maras US Patent US20210088982A1, 2021 | | 2021 |
| HART‐IP Application, Communication, and Control Analysis S Xu, M Nixon, J Beall, A Amaro https://www.fieldcommgroup.org/sites/default/files/imce_files/technology …, 2021 | | 2021 |
| A Sequence to Sequence Time Series Forecasting Model for Batch Processes with Seasonality S Xu, M Nixon 15th Global congress on process safety, 2019 | | 2019 |
| Event-based Industrial control with Wireless Devices M Nixon, S Xu, J Beall ISA Symposium at Montreal, 2018 | | 2018 |
| An Optimization-Based Framework to Define the Probabilistic Design Space of Pharmaceutical Process with Model Inherent Uncertainty S Xu, C Laird, S Vaidyaraman, S Garcia-Munoz AIChE conference, 2017 | | 2017 |
| Analyzing Process Images Based on Visual Saliency and Visual Clutter S Xu, M Nixon, M Baldea, TF Edgar 12th Global congress on process safety, 2016 | | 2016 |
Michael BaldeaProfessor, University of Texas at Austin; Editor in Chief, I&ECR在 che.utexas.edu 的电子邮件经过验证
