Implementation of knowledge maintenance modules in an expert system for fault diagnosis of chemical process operation

Expert Systems with Applications ◽

10.1016/j.eswa.2004.10.005 ◽

2005 ◽

Vol 28 (2) ◽

pp. 249-257 ◽

Author(s):

Yu Qian ◽

Minjian Zheng ◽

Xiuxi Li ◽

Li Lin

Keyword(s):

Fault Diagnosis ◽

Expert System ◽

Chemical Process ◽

Process Operation

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Research and implementation of an on-line fault diagnosis expert system for the chemical process

International Technology and Innovation Conference 2006 (ITIC 2006) ◽

10.1049/cp:20061131 ◽

2006 ◽

Author(s):

Xu Liang ◽

Li XiuXi

Keyword(s):

Fault Diagnosis ◽

Expert System ◽

Chemical Process ◽

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A hybrid hierarchical neural network-fuzzy expert system approach to chemical process fault diagnosis

Fuzzy Sets and Systems ◽

10.1016/0165-0114(95)00314-2 ◽

1996 ◽

Vol 83 (1) ◽

pp. 11-25 ◽

Author(s):

Burak Özyurt ◽

Abraham Kandel

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Expert System ◽

System Approach ◽

Chemical Process ◽

Fuzzy Expert System ◽

Hierarchical Neural Network ◽

Process Fault Diagnosis

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A Fault Diagnosis Expert System for Building Chillers

International Review of Mechanical Engineering (IREME) ◽

10.15866/ireme.v11i4.11365 ◽

2017 ◽

Vol 11 (4) ◽

pp. 270

Author(s):

C. N. Tan ◽

C. F. Tan ◽

M. A. Abdullah

Keyword(s):

Fault Diagnosis ◽

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Ontology and SDG-based framework for fault diagnosis in chemical process

Future Communication Technology ◽

10.2495/icct130271 ◽

2014 ◽

Author(s):

Dong Gao ◽

Xin Xu ◽

Xin Ma

Keyword(s):

Fault Diagnosis ◽

Chemical Process

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Application of nonlinear feature extraction and least square support vector machines for fault diagnosis of chemical process

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.00236 ◽

2010 ◽

Vol 30 (1) ◽

pp. 236-239 ◽

Author(s):

Liang XU

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Support Vector Machines ◽

Chemical Process ◽

Least Square ◽

Support Vector ◽

Vector Machines ◽

Nonlinear Feature Extraction ◽

Nonlinear Feature

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Intelligent Fault Diagnosis of Chemical Process Based on twin convolution Deep Neural Network of Wavelet Transform

2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls52934.2021.9455551 ◽

2021 ◽

Author(s):

Ting Yu ◽

Yongsheng Qi

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Fault Diagnosis ◽

Chemical Process ◽

Deep Neural Network ◽

Intelligent 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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Application of expert system techniques to fault diagnosis

The Chemical Engineering Journal ◽

10.1016/0300-9467(84)80001-5 ◽

1984 ◽

Vol 29 (1) ◽

pp. 1-9 ◽

Author(s):

Hiromitsu Kumamoto ◽

Kenji Ikenchi ◽

Koichi Inoue ◽

Ernest J. Henley

Keyword(s):

Fault Diagnosis ◽

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Fault Diagnosis Approach for Pneumatic Control Valves Based on Modified Expert System

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) ◽

10.1109/dcabes50732.2020.00035 ◽

2020 ◽

Author(s):

Daoming Zhang ◽

Jixing Hao ◽

Liming Chen ◽

Linna Zhou

Keyword(s):

Fault Diagnosis ◽

Expert System ◽

Pneumatic Control ◽

Control Valves ◽

Pneumatic Control Valves ◽

Diagnosis Approach

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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 ◽

Author(s):

Mark A. Kramer ◽

F. Eric Finch

Keyword(s):

Fault Diagnosis ◽

Expert Systems ◽

Chemical Process ◽

Process Fault Diagnosis

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