| 1 |
A process fault diagnosis method using multi-time scale dynamic feature extraction based on convolutional neural network
Gao XR, Yang F, Feng EB
Canadian Journal of Chemical Engineering, 98(6), 1280, 2020 |
| 2 |
An Improved Non-negative Matrix Factorization Method for Dynamic Industrial Fault Diagnosis
Gong XF, Sun DD, Tang ZD, Zhou K, Luo RS
Journal of Chemical Engineering of Japan, 53(7), 321, 2020 |
| 3 |
Online reduced gaussian process regression based generalized likelihood ratio test for fault detection
Fezai R, Mansouri M, Abodayeh K, Nounou H, Nounou M
Journal of Process Control, 85, 30, 2020 |
| 4 |
Chemical process fault diagnosis based on enchanted machine-learning approach
Yang XH, Zhou JS, Xie ZH, Ke G
Canadian Journal of Chemical Engineering, 97(12), 3074, 2019 |
| 5 |
Fault monitoring based on mutual information feature engineering modeling in chemical process
Tian WD, Ren YJ, Dong YX, Wang SG, Bu LZ
Chinese Journal of Chemical Engineering, 27(10), 2491, 2019 |
| 6 |
A New Feedback DE-ELM with Time Delay-Based EFSM Approach for Fault Prediction of Non-Linear Processes
Xu Y, Zhou ZQ, Zhu QX
Canadian Journal of Chemical Engineering, 93(9), 1603, 2015 |
| 7 |
Fault detection of large-scale process control system with higher-order statistical and interpretative structural model
Geng ZQ, Yang K, Han YM, Gu XB
Chinese Journal of Chemical Engineering, 23(1), 146, 2015 |
| 8 |
BBN-Based Reasoning Approach for Safety Verification Using FSN
Gabbar HA, Isham M, Hussain S, Zhang LP
Journal of Chemical Engineering of Japan, 48(8), 684, 2015 |
| 9 |
Integrating probabilistic signed digraph and reliability analysis for alarm signal optimization in chemical plant
Peng D, Gu XB, Xu Y, Zhu QX
Journal of Loss Prevention in The Process Industries, 33, 279, 2015 |
| 10 |
Using improved self-organizing map for fault diagnosis in chemical industry process
Chen XY, Yan XF
Chemical Engineering Research & Design, 90(12), 2262, 2012 |
