화학공학소재연구정보센터
검색결과 : 474건
No. Article
21 Modified non-Gaussian multivariate statistical process monitoring based on the Gaussian distribution transformation
Du WY, Zhang YW, Zhou W
Journal of Process Control, 85, 1, 2020
22 A multi-feature extraction technique based on principal component analysis for nonlinear dynamic process monitoring
Guo LL, Wu P, Lou SW, Gao JF, Liu YC
Journal of Process Control, 85, 159, 2020
23 Multiphase two-dimensional time-slice dynamic system for batch process monitoring
Zhu JL, Yao Y, Gao FR
Journal of Process Control, 85, 184, 2020
24 Dynamic process monitoring based on a time-serial multi-block modeling approach
Wan XC, Tong CD, Meng SJ, Lan T
Journal of Process Control, 89, 22, 2020
25 An on-line framework for monitoring nonlinear processes with multiple operating modes
Tan RM, Cong T, Ottewill JR, Baranowski J, Thornhill NF
Journal of Process Control, 89, 119, 2020
26 Enhanced canonical variate analysis with slow feature for dynamic process status analytics
Zheng JL, Zhao CH
Journal of Process Control, 95, 10, 2020
27 Simplified Granger causality map for data-driven root cause diagnosis of process disturbances
Liu Y, Chen HS, Wu HB, Dai Y, Yao Y, Yan ZB
Journal of Process Control, 95, 45, 2020
28 Information concentrated variational auto-encoder for quality-related nonlinear process monitoring
Zhu JZ, Shi HB, Song B, Tao Y, Tan S
Journal of Process Control, 94, 12, 2020
29 Monitoring and prediction of big process data with deep latent variable models and parallel computing
Yang ZY, Ge ZQ
Journal of Process Control, 92, 19, 2020
30 Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder
Wang YL, Yang HB, Yuan XF, Shardt YAW, Yang CH, Gui WH
Journal of Process Control, 92, 79, 2020