화학공학소재연구정보센터
검색결과 : 20건
No. Article
1 Dynamic plant-wide process monitoring based on distributed slow feature analysis with inter-unit dissimilarity
Huang R, Li Z, Cao B
Korean Journal of Chemical Engineering, 39(2), 275, 2022
2 Deep neural network based recursive feature learning for nonlinear dynamic process monitoring
Zhu JZ, Shi HB, Song B, Tan S, Tao Y
Canadian Journal of Chemical Engineering, 98(4), 919, 2020
3 MRS-kNN fault detection method for multirate sampling process based variable grouping threshold
Feng J, Li KQ
Journal of Process Control, 85, 149, 2020
4 Manifold regularized stacked autoencoders-based feature learning for fault detection in industrial processes
Yu JB, Zhang CY
Journal of Process Control, 92, 119, 2020
5 Dynamic process fault detection and diagnosis based on a combined approach of hidden Markov and Bayesian network model
Don MG, Khan F
Chemical Engineering Science, 201, 82, 2019
6 DISCRIMINANT DIFFUSION MAPS BASED K-NEAREST-NEIGHBOUR FOR BATCH PROCESS FAULT DETECTION
Li Y, Liu YD, Zhang C
Canadian Journal of Chemical Engineering, 96(2), 484, 2018
7 Enhanced fault detection for nonlinear processes using modified kernel partial least squares and the statistical local approach
Wang L
Canadian Journal of Chemical Engineering, 96(5), 1116, 2018
8 Dynamic mutual information similarity based transient process identification and fault detection
He YC, Zhou L, Ge ZQ, Song ZH
Canadian Journal of Chemical Engineering, 96(7), 1541, 2018
9 Online reduced kernel principal component analysis for process monitoring
Fezai R, Mansouri M, Taouali O, Harkat MF, Bouguila N
Journal of Process Control, 61, 1, 2018
10 Batch Process Monitoring Based on Fuzzy Segmentation of Multivariate Time-Series
Tanatavikorn H, Yamashita Y
Journal of Chemical Engineering of Japan, 50(1), 53, 2017