1 |
Z-scheme heterostructure BiOCl-Ag-AgBr with enhanced sunlight-driven photocatalytic activity in simultaneous removal of Cr6+ and phenol contaminants Han YQ, Li QY, Bao SY, Lu YF, Guan ZP, Zhang JL, Tian BZ Catalysis Today, 376, 151, 2021 |
2 |
Hydrophilic modification of carbon nanotube to prepare a novel porous copper network-carbon nanotube/erythritol composite phase change material Bao SY, Wei QP, Cao J, Li HC, Ma L, An JJ, Lin CT, Luo JT, Zhou KC Composite Interfaces, 28(2), 175, 2021 |
3 |
Multi-level DEM study on liner wear in tumbling mills for an engineering level approach Xu L, Bao SY, Zhao YZ Powder Technology, 364, 332, 2020 |
4 |
Sparse Robust Principal Component Analysis with Applications to Fault Detection and Diagnosis Luo LJ, Bao SY, Tong CD Industrial & Engineering Chemistry Research, 58(3), 1300, 2019 |
5 |
Adaptive Selection of Latent Variables for Process Monitoring Luo LJ, Bao SY, Mao JF Industrial & Engineering Chemistry Research, 58(21), 9075, 2019 |
6 |
Improvements to the T-2 Statistic for Multivariate Fault Detection Luo LJ, Xu M, Bao SY, Mao JF, Tong CD Industrial & Engineering Chemistry Research, 58(45), 20692, 2019 |
7 |
Knowledge-data-integrated sparse modeling for batch process monitoring Luo LJ, Bao SY Chemical Engineering Science, 189, 221, 2018 |
8 |
Industrial Process Monitoring Based on Knowledge Data Integrated Sparse Model and Two-Level Deviation Magnitude Plots Luo LJ, Bao SY, Mao JF, Ding ZY Industrial & Engineering Chemistry Research, 57(2), 611, 2018 |
9 |
Just-in-Time Selection of Principal Components for Fault Detection: The Criteria Based on Principal Component Contributions to the Sample Mahalanobis Distance Luo LJ, Bao SY, Mao JF, Tang D Industrial & Engineering Chemistry Research, 57(10), 3656, 2018 |
10 |
Robust Monitoring of Industrial Processes in the Presence of Outliers in Training Data Bao SY, Luo LJ, Mao JF, Tang D, Ding ZY Industrial & Engineering Chemistry Research, 57(24), 8230, 2018 |