| 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 |
Industrial process monitoring based on Fisher discriminant global-local preserving projection
Tang Q, Chai Y, Qu JF, Fang XY
Journal of Process Control, 81, 76, 2019 |
| 3 |
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 |
| 4 |
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 |
| 5 |
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 |
| 6 |
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 |
| 7 |
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 |
| 8 |
Localized Fisher Discriminant Analysis Based Complex Chemical Process Monitoring
Yu J
AIChE Journal, 57(7), 1817, 2011 |
| 9 |
Fault diagnosis based on imbalance modified kernel Fisher discriminant analysis
Zhu ZB, Song ZH
Chemical Engineering Research & Design, 88(8A), 936, 2010 |
| 10 |
화상분석을 이용한 소프트 센서의 설계와 산업응용사례 2. 인조대리석의 품질 자동 분류
류준형, 유준
Korean Chemical Engineering Research, 48(4), 483, 2010 |
