| index | Title |
| 1 | Multiscale classification and its application to process monitoring Author(s):Yu-ming Liu, Lu-bin Ye, Ping-you Zheng, Xiang-rong Shi, Bin Hu, Jun Liang Clicked:11416 Download:4026 Cited:6 <Full Text> Journal of Zhejiang University Science C 2010 Vol.11 No.6 P.425-434 DOI:10.1631/jzus.C0910430 |
| 2 | Statistical process monitoring based on improved principal component analysis and its application to chemical processes Author(s):Chu-dong Tong, Xue-feng Yan, Yu-xin Ma Clicked:11662 Download:3656 Cited:5 <Full Text> Journal of Zhejiang University Science A 2013 Vol.14 No.7 P.520-534 DOI:10.1631/jzus.A1300003 |
| 3 | Generative adversarial network based novelty detection using minimized reconstruction error Author(s):Huan-gang Wang, Xin Li, Tao Zhang Clicked:10802 Download:4456 Cited:0 <Full Text> <PPT> 2786 Frontiers of Information Technology & Electronic Engineering 2018 Vol.19 No.1 P.116-125 DOI:10.1631/FITEE.1700786 |
| 4 | A novel multimode process monitoring method integrating LDRSKM with Bayesian inference Author(s):Shi-jin Ren, Yin Liang, Xiang-jun Zhao, Mao-yun Yang Clicked:17320 Download:4832 Cited:0 <Full Text> <PPT> 3302 Frontiers of Information Technology & Electronic Engineering 2015 Vol.16 No.8 P.617-633 DOI:10.1631/FITEE.1400263 |
| 5 | Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised fault classification Author(s):Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE Clicked:5519 Download:6915 Cited:0 <Full Text> <PPT> 1248 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.12 P.1814-1827 DOI:10.1631/FITEE.2200053 |
