Chemical process fault diagnosis based on a combined deep learning method

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.24153 ◽

2021 ◽

Author(s):

Yu Bao ◽

Bo Wang ◽

Pandeng Guo ◽

Jingtao Wang

Keyword(s):

Deep Learning ◽

Fault Diagnosis ◽

Chemical Process ◽

Learning Method ◽

Process Fault Diagnosis

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A novel one‐dimensional convolutional neural network architecture for chemical process fault diagnosis

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.24087 ◽

2021 ◽

Author(s):

Xin Niu ◽

Xia Yang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Network Architecture ◽

Chemical Process ◽

Neural Network Architecture ◽

One Dimensional ◽

Process Fault Diagnosis

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Development and classification of expert systems for chemical process fault diagnosis

Robotics and Computer-Integrated Manufacturing ◽

10.1016/0736-5845(88)90015-4 ◽

1988 ◽

Vol 4 (3-4) ◽

pp. 437-446 ◽

Cited By ~ 3

Author(s):

Mark A. Kramer ◽

F. Eric Finch

Keyword(s):

Fault Diagnosis ◽

Expert Systems ◽

Chemical Process ◽

Process Fault Diagnosis

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A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2020.106683 ◽

2020 ◽

Vol 140 ◽

pp. 106683 ◽

Cited By ~ 19

Author(s):

Zhuyun Chen ◽

Alexandre Mauricio ◽

Weihua Li ◽

Konstantinos Gryllias

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Learning Method ◽

Spectral Coherence ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2020.106752 ◽

2020 ◽

Vol 142 ◽

pp. 106752 ◽

Cited By ~ 15

Author(s):

Xingqiu Li ◽

Hongkai Jiang ◽

Maogui Niu ◽

Ruixin Wang

Keyword(s):

Deep Learning ◽

Fault Diagnosis ◽

Search Algorithm ◽

Rolling Bearing ◽

Learning Method ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Selective Ensemble

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Chemical process fault diagnosis based on mixup-convolution neural network

2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) ◽

10.1109/icemi46757.2019.9101484 ◽

2019 ◽

Author(s):

Gu Xiaohua ◽

Song Hongfei ◽

Wang Tian ◽

Lu Fei ◽

Li Renjie

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Chemical Process ◽

Convolution Neural Network ◽

Process Fault Diagnosis

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Entropy principal component analysis and its application to nonlinear chemical process fault diagnosis

Asia-Pacific Journal of Chemical Engineering ◽

10.1002/apj.1813 ◽

2014 ◽

Vol 9 (5) ◽

pp. 696-706 ◽

Cited By ~ 6

Author(s):

Xiaogang Deng ◽

Xuemin Tian

Keyword(s):

Principal Component Analysis ◽

Fault Diagnosis ◽

Chemical Process ◽

Principal Component ◽

Component Analysis ◽

Process Fault Diagnosis

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Chemical process fault diagnosis using kernel retrofitted fuzzy genetic algorithm based learner (FGAL) with a hidden Markov model

Lecture Notes in Computer Science - Methodology and Tools in Knowledge-Based Systems ◽

10.1007/3-540-64582-9_748 ◽

1998 ◽

pp. 190-199

Author(s):

I. Burak Özyurt ◽

Aydin K. Sunol ◽

Lawrence O. Hall

Keyword(s):

Genetic Algorithm ◽

Fault Diagnosis ◽

Markov Model ◽

Hidden Markov Model ◽

Chemical Process ◽

Hidden Markov ◽

Fuzzy Genetic Algorithm ◽

Process Fault Diagnosis ◽

Fuzzy Genetic

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A Modified Discrete Binary Ant Colony Optimization and Its Application in Chemical Process Fault Diagnosis

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/11903697_112 ◽

2006 ◽

pp. 889-896 ◽

Cited By ~ 4

Author(s):

Ling Wang ◽

Jinshou Yu

Keyword(s):

Fault Diagnosis ◽

Ant Colony Optimization ◽

Chemical Process ◽

Ant Colony ◽

Process Fault Diagnosis

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Bidirectional Recurrent Neural Network-Based Chemical Process Fault Diagnosis

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.9b05885 ◽

2019 ◽

Vol 59 (2) ◽

pp. 824-834 ◽

Cited By ~ 4

Author(s):

Shuyuan Zhang ◽

Kexin Bi ◽

Tong Qiu

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Recurrent Neural Network ◽

Chemical Process ◽

Process Fault Diagnosis

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Chemical process fault diagnosis based on enchanted machine‐learning approach

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.23642 ◽

2019 ◽

Vol 97 (12) ◽

pp. 3074-3086 ◽

Cited By ~ 1

Author(s):

Xiaohui Yang ◽

Jingsong Zhou ◽

Zihao Xie ◽

Gong Ke

Keyword(s):

Machine Learning ◽

Fault Diagnosis ◽

Chemical Process ◽

Learning Approach ◽

Machine Learning Approach ◽

Process Fault Diagnosis

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