Nonlinear process fault diagnosis based on slow feature analysis

Proceedings of the 10th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2012.6358414 ◽

2012 ◽

Author(s):

Xiaogang Deng ◽

Xuemin Tian ◽

Xiangyang Hu

Keyword(s):

Fault Diagnosis ◽

Nonlinear Process ◽

Feature Analysis ◽

Slow Feature Analysis ◽

Process Fault Diagnosis

Download Full-text

Locally linear back-propagation based contribution for nonlinear process fault diagnosis

IEEE/CAA Journal of Automatica Sinica ◽

10.1109/jas.2020.1003147 ◽

2020 ◽

Vol 7 (3) ◽

pp. 764-775

Author(s):

Jinchuan Qian ◽

Li Jiang ◽

Zhihuan Song

Keyword(s):

Fault Diagnosis ◽

Back Propagation ◽

Nonlinear Process ◽

Process Fault Diagnosis ◽

Download Full-text

A dynamic nonlinear process fault diagnosis method using Canonical rotation forest

2016 35th Chinese Control Conference (CCC) ◽

10.1109/chicc.2016.7554382 ◽

2016 ◽

Author(s):

Xiao Lu ◽

Yuping Cao ◽

Xuemin Tian ◽

Xiaogang Deng ◽

Ping Wang

Keyword(s):

Fault Diagnosis ◽

Nonlinear Process ◽

Rotation Forest ◽

Diagnosis Method ◽

Process Fault Diagnosis ◽

Canonical Rotation

Download Full-text

A novel kernel dynamic inner slow feature analysis method for dynamic nonlinear process concurrent monitoring of operating point deviations and process dynamics anomalies

Journal of Process Control ◽

10.1016/j.jprocont.2021.12.005 ◽

2022 ◽

Vol 110 ◽

pp. 59-75

Author(s):

Yuemei Xu ◽

Mingxing Jia ◽

Zhizhong Mao ◽

Hanqi Li

Keyword(s):

Nonlinear Process ◽

Feature Analysis ◽

Operating Point ◽

Analysis Method ◽

Process Dynamics ◽

Slow Feature Analysis

Download Full-text

Distributed Bayesian network with slow feature analysis for fault diagnosis

2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) ◽

10.1109/yac.2018.8406535 ◽

2018 ◽

Author(s):

Jie Gao ◽

Chunhui Zhao

Keyword(s):

Fault Diagnosis ◽

Bayesian Network ◽

Feature Analysis ◽

Slow Feature Analysis

Download Full-text

Nonlinear Process Fault Diagnosis Using Kernel Slow Feature Discriminant Analysis

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.09.593 ◽

2015 ◽

Vol 48 (21) ◽

pp. 607-612 ◽

Author(s):

Hanyuan Zhang ◽

Xuemin Tian ◽

Lianfang Cai

Keyword(s):

Fault Diagnosis ◽

Discriminant Analysis ◽

Nonlinear Process ◽

Process Fault Diagnosis

Download Full-text

Partial Derivate Contribution Plot Based on KPLS-KSER for Nonlinear Process Fault Diagnosis

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) ◽

10.1109/yac.2019.8787665 ◽

2019 ◽

Author(s):

Wenxiang Zhu ◽

Weiting Zhen ◽

Jianfang Jiao

Keyword(s):

Fault Diagnosis ◽

Nonlinear Process ◽

Process Fault Diagnosis

Download Full-text

Nonlinear process fault diagnosis using kernel ICA and improved FDA

IFAC Proceedings Volumes ◽

10.3182/20130703-3-fr-4038.00006 ◽

2013 ◽

Vol 46 (11) ◽

pp. 736-741 ◽

Author(s):

Lianfang Cai ◽

Xuemin Tian ◽

Honglong Chen

Keyword(s):

Fault Diagnosis ◽

Nonlinear Process ◽

Process Fault Diagnosis

Download Full-text

Extracting Dissimilarity of Slow Feature Analysis between Normal and Different Faults for Monitoring Process Status and Fault Diagnosis

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN ◽

10.1252/jcej.18we079 ◽

2019 ◽

Vol 52 (3) ◽

pp. 283-292 ◽

Author(s):

Haiyong Zheng ◽

Xuefeng Yan

Keyword(s):

Fault Diagnosis ◽

Feature Analysis ◽

Slow Feature Analysis ◽

Monitoring Process

Download Full-text

Nonlinear process monitoring using dynamic kernel slow feature analysis and support vector data description

2013 25th Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2013.6561706 ◽

2013 ◽

Author(s):

Deng Xiaogang ◽

Tian Xuemin

Keyword(s):

Process Monitoring ◽

Nonlinear Process ◽

Feature Analysis ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Slow Feature Analysis ◽

Nonlinear Process Monitoring

Download Full-text

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2016.2635111 ◽

2018 ◽

Vol 29 (3) ◽

pp. 560-572 ◽

Author(s):

Xiaogang Deng ◽

Xuemin Tian ◽

Sheng Chen ◽

Chris J. Harris

Keyword(s):

Principal Component Analysis ◽

Fault Diagnosis ◽

Principal Component ◽

Nonlinear Process ◽

Component Analysis ◽

Process Fault Diagnosis

Download Full-text