Fault detection of chemical processes using KPCA-based GLRT technique

2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) ◽

10.1109/atsip.2017.8075513 ◽

2017 ◽

Author(s):

Raoudha Baklouti ◽

Majdi Mansouri ◽

Hazem Nounou ◽

Mohamed Nounou ◽

Mohamed Ben Slima ◽

...

Keyword(s):

Fault Detection ◽

Chemical Processes

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Deep Compression of Neural Networks for Fault Detection on Tennessee Eastman Chemical Processes

2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) ◽

10.1109/icbaie52039.2021.9389826 ◽

2021 ◽

Author(s):

Mingxuan Li ◽

Yuanxun Shao

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Chemical Processes ◽

Eastman Chemical

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Reduced Gaussian process regression for fault detection of chemical processes

2019 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC) ◽

10.1109/iintec48298.2019.9112136 ◽

2019 ◽

Author(s):

Radhia Fezai ◽

Majdi Mansouri ◽

Nasreddine Bouguila ◽

Hazem Nounou ◽

Mohamed Nounou

Keyword(s):

Fault Detection ◽

Gaussian Process ◽

Gaussian Process Regression ◽

Chemical Processes

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Robust nonlinear fault detection applied to chemical processes

Proceedings of the 2010 American Control Conference ◽

10.1109/acc.2010.5530608 ◽

2010 ◽

Author(s):

Ivan Castillo ◽

Thomas F Edgar ◽

Benito R Fernandez

Keyword(s):

Fault Detection ◽

Chemical Processes

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A fault detection method based on horizontal visibility graph‐integrated complex networks: Application to complex chemical processes

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.23319 ◽

2018 ◽

Vol 97 (5) ◽

pp. 1129-1138 ◽

Author(s):

Zhiqiang Geng ◽

Zun Wang ◽

Haixia Hu ◽

Yongming Han ◽

Xiaoyong Lin ◽

...

Keyword(s):

Fault Detection ◽

Complex Networks ◽

Detection Method ◽

Chemical Processes ◽

Visibility Graph ◽

Horizontal Visibility ◽

Complex Chemical ◽

Horizontal Visibility Graph

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Incipient Fault Detection for Chemical Processes Using Two-Dimensional Weighted SLKPCA

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.8b04794 ◽

2019 ◽

Vol 58 (6) ◽

pp. 2280-2295 ◽

Author(s):

Xiaogang Deng ◽

Jiawei Deng

Keyword(s):

Fault Detection ◽

Chemical Processes ◽

Two Dimensional ◽

Incipient Fault ◽

Incipient Fault Detection

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Fault detection and diagnosis based on transfer learning for multimode chemical processes

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2020.106731 ◽

2020 ◽

Vol 135 ◽

pp. 106731 ◽

Author(s):

Hao Wu ◽

Jinsong Zhao

Keyword(s):

Fault Detection ◽

Transfer Learning ◽

Chemical Processes ◽

Fault Detection And Diagnosis ◽

Detection And Diagnosis

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Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test

Information Sciences ◽

10.1016/j.ins.2019.03.068 ◽

2019 ◽

Vol 490 ◽

pp. 265-284 ◽

Author(s):

Harkat M.-F. ◽

Mansouri M. ◽

Nounou M.N. ◽

Nounou H.N.

Keyword(s):

Fault Detection ◽

Least Squares ◽

Partial Least Squares ◽

Likelihood Ratio ◽

Likelihood Ratio Test ◽

Chemical Processes ◽

Generalized Likelihood Ratio Test ◽

Generalized Likelihood Ratio

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A support vector clustering-based probabilistic method for unsupervised fault detection and classification of complex chemical processes using unlabeled data

AIChE Journal ◽

10.1002/aic.13816 ◽

2012 ◽

Vol 59 (2) ◽

pp. 407-419 ◽

Author(s):

Jie Yu

Keyword(s):

Fault Detection ◽

Probabilistic Method ◽

Chemical Processes ◽

Unlabeled Data ◽

Support Vector ◽

Complex Chemical ◽

Support Vector Clustering ◽

Fault Detection And Classification ◽

Vector Clustering

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Fault detection of chemical processes using improved generalized likelihood ratio test

2017 22nd International Conference on Digital Signal Processing (DSP) ◽

10.1109/icdsp.2017.8096094 ◽

2017 ◽

Author(s):

Majdi Mansouri ◽

Hazem Nounou ◽

Mohamed Faouzi Harkat ◽

Mohamed Nounou

Keyword(s):

Fault Detection ◽

Likelihood Ratio ◽

Likelihood Ratio Test ◽

Chemical Processes ◽

Generalized Likelihood Ratio Test ◽

Generalized Likelihood Ratio

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Comparison of stochastic fault detection and classification algorithms for nonlinear chemical processes

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2017.05.016 ◽

2017 ◽

Vol 106 ◽

pp. 57-70 ◽

Author(s):

Yuncheng Du ◽

Hector Budman ◽

Thomas A. Duever

Keyword(s):

Fault Detection ◽

Chemical Processes ◽

Classification Algorithms ◽

Fault Detection And Classification

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