| Issue |
| Total 13 articles [ 키워드: Fault Detection ] |
| No. | Article |
| 1 |
Korean Journal of Chemical Engineering, 40 (7), pp.1616-1622 (2023) Model-based fault detecting strategy of urea-selective catalytic reduction (SCR) for diesel vehicles Sanha Lim, Jong Min Lee |
| 2 |
Korean Journal of Chemical Engineering, 39 (2), pp.275-283 (2022) Dynamic plant-wide process monitoring based on distributed slow feature analysis with inter-unit dissimilarity Huang R, Li Z, Cao B |
| 3 |
Korean Journal of Chemical Engineering, 38 (12), pp.2406-2422 (2021) Data-driven fault detection for chemical processes using autoencoder with data augmentation Lee HD, Kim CS, Jeong DH, et al. |
| 4 |
Korean Journal of Chemical Engineering, 37 (1), pp.11-18 (2020) Anomaly detection in a hyper-compressor in low-density polyethylene manufacturing processes using WPCA-based principal component control limit Park BE, Kim JS, Lee JK, et al. |
| 5 |
Korean Journal of Chemical Engineering, 34 (8), pp.2135-2146 (2017) Sparse probabilistic principal component analysis model for plant-wide process monitoring Zeng J, Liu K, Huang W, et al. |
| 6 |
Korean Journal of Chemical Engineering, 34 (2), pp.275-286 (2017) Fault detection based on polygon area statistics of transformation matrix identified from combined moving window data Wang B, Yan X, Jin Y |
| 7 |
Korean Journal of Chemical Engineering, 31 (11), pp.1935-1942 (2014) Improved fault detection in nonlinear chemical processes using WKPCA-SVDD Jiang Q, Yan X |
| 8 |
Korean Journal of Chemical Engineering, 31 (11), pp.1943-1953 (2014) Hyperplane distance neighbor clustering based on local discriminant analysis for complex chemical processes monitoring Lu C, Xiao S, Gu X |
| 9 |
Korean Journal of Chemical Engineering, 30 (6), pp.1181-1186 (2013) Fault detection in nonlinear chemical processes based on kernel entropy component analysis and angular structure Jiang Q, Yan X, Lv Z, et al. |
| 10 |
Korean Journal of Chemical Engineering, 30 (3), pp.528-539 (2013) Adaptive neuro-fuzzy inference system based faulty sensor monitoring of indoor air quality in a subway station Liu H, Huang M, Kim JT, et al. |
| 1 [2] |
