화학공학소재연구정보센터
검색결과 : 476건
No. Article
1 Objectives, challenges, and prospects of batch processes: Arising from injection molding applications
Zhou Y, Cao Z, Lu J, Zhao C, Li D, Gao F
Korean Journal of Chemical Engineering, 39(12), 3179, 2022
2 A multi-blockNMFmodel fornon-Gaussianprocess monitoring based on the adaptive partition non-negative matrix factorization andBayesian inference
Wang Y, Li S, Ling D, Yuan SM, Gu XG
Canadian Journal of Chemical Engineering, 99(2), 543, 2021
3 Development of a low-cost food color monitoring system
Jain A, Pradhan BK, Mahapatra P, Ray SS, Chakravarty S, Pal K
Color Research and Application, 46(2), 430, 2021
4 Unsupervised isolation of abnormal process variables using sparse autoencoders
Hallgrimsson AD, Niemann HH, Lind M
Journal of Process Control, 99, 107, 2021
5 Decentralized dynamic process monitoring based on manifold regularized slow feature analysis
Xu X, Ding JL
Journal of Process Control, 98, 79, 2021
6 Data-driven fault detection for chemical processes using autoencoder with data augmentation
Lee HD, Kim CS, Jeong DH, Lee JM
Korean Journal of Chemical Engineering, 38(12), 2406, 2021
7 Rubber injection molding: Applying multivariate statistics to identify quality issues solely from process signals
Hutterer T, Berger-Weber GR, Kerschbaumer RC, Friesenbichler W
Polymer Engineering and Science, 61(4), 983, 2021
8 A review of high shear wet granulation for better process understanding, control and product development
Liu BB, Wang JM, Zeng J, Zhao LJ, Wang YJ, Feng Y, Du RF
Powder Technology, 381, 204, 2021
9 Locality preserving randomized canonical correlation analysis for real-time nonlinear process monitoring
Wu P, Zhang XJ, He JJ, Lou SW, Gao JF
Process Safety and Environmental Protection, 147, 1088, 2021
10 Hybrid-EKF: Hybrid model coupled with extended Kalman filter for real-time monitoring and control of mammalian cell culture
Narayanan H, Behle L, Luna MF, Sokolov M, Guillen-Gosalbez G, Morbidelli M, Butte A
Biotechnology and Bioengineering, 117(9), 2703, 2020