화학공학소재연구정보센터
검색결과 : 39건
No. Article
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