화학공학소재연구정보센터
검색결과 : 21건
No. Article
1 Incorporate active learning to semi-supervised industrial fault classification
Yin LL, Wang HG, Fan WH, Kou L, Lin TY, Xiao YY
Journal of Process Control, 78, 88, 2019
2 Locality preserving discriminative canonical variate analysis for fault diagnosis
Lu QG, Jiang BB, Gopaluni RB, Loewen PD, Braatz RD
Computers & Chemical Engineering, 117, 309, 2018
3 Kernel approaches for fault detection and classification in PARR-2
Jamil F, Abid M, Adil M, Nag I, Khan AQ, Khan SF
Journal of Process Control, 64, 1, 2018
4 A novel multimode process monitoring method integrating LCGMM with modified LFDA
Ren SJ, Song ZH, Yang MY, Ren JG
Chinese Journal of Chemical Engineering, 23(12), 1970, 2015
5 A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis
Jiang BB, Zhu XX, Huang DX, Paulson JA, Braatz RD
Computers & Chemical Engineering, 77, 1, 2015
6 Fault Diagnosis in Chemical Process Based on Self-organizing Map Integrated with Fisher Discriminant Analysis
Chen XY, Yan XF
Chinese Journal of Chemical Engineering, 21(4), 382, 2013
7 Localized Fisher Discriminant Analysis Based Complex Chemical Process Monitoring
Yu J
AIChE Journal, 57(7), 1817, 2011
8 Fault diagnosis based on imbalance modified kernel Fisher discriminant analysis
Zhu ZB, Song ZH
Chemical Engineering Research & Design, 88(8A), 936, 2010
9 화상분석을 이용한 소프트 센서의 설계와 산업응용사례 2. 인조대리석의 품질 자동 분류
류준형, 유준
Korean Chemical Engineering Research, 48(4), 483, 2010
10 A Novel Systematic Method of Quality Monitoring and Prediction Based on FDA and Kernel Regression
Zhang X, Ma SL, Yan WW, Zhao X, Shao HH
Chinese Journal of Chemical Engineering, 17(3), 427, 2009