Dynamic Fault Diagnosis For Semi-Batch Reactor Under Closed-Loop Control Via Independent Radial Basis Function Neural Network Article Swipe
Abdelkarim M. Ertiame
,
D.W. Yu
,
Dehai Yu
,
J.B. Gomm
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.1110358
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.1110358
In this paper, a robust fault detection and isolation (FDI) scheme is developed to monitor a multivariable nonlinear chemical process called the Chylla-Haase polymerization reactor, when it is under the cascade PI control. The scheme employs a radial basis function neural network (RBFNN) in an independent mode to model the process dynamics, and using the weighted sum-squared prediction error as the residual. The Recursive Orthogonal Least Squares algorithm (ROLS) is employed to train the model to overcome the training difficulty of the independent mode of the network. Then, another RBFNN is used as a fault classifier to isolate faults from different features involved in the residual vector. Several actuator and sensor faults are simulated in a nonlinear simulation of the reactor in Simulink. The scheme is used to detect and isolate the faults on-line. The simulation results show the effectiveness of the scheme even the process is subjected to disturbances and uncertainties including significant changes in the monomer feed rate, fouling factor, impurity factor, ambient temperature, and measurement noise. The simulation results are presented to illustrate the effectiveness and robustness of the proposed method.
Related Topics
Concepts
Radial basis function
Control theory (sociology)
Loop (graph theory)
Artificial neural network
Function (biology)
Fault (geology)
Radial basis function network
Computer science
Basis (linear algebra)
Control (management)
Mathematics
Artificial intelligence
Biology
Combinatorics
Paleontology
Evolutionary biology
Geometry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.1110358
- OA Status
- green
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2228708768
All OpenAlex metadata
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https://openalex.org/W2228708768Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.1110358Digital Object Identifier
- Title
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Dynamic Fault Diagnosis For Semi-Batch Reactor Under Closed-Loop Control Via Independent Radial Basis Function Neural NetworkWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2015Year of publication
- Publication date
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2015-11-02Full publication date if available
- Authors
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Abdelkarim M. Ertiame, D.W. Yu, Dehai Yu, J.B. GommList of authors in order
- Landing page
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https://doi.org/10.5281/zenodo.1110358Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5281/zenodo.1110358Direct OA link when available
- Concepts
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Radial basis function, Control theory (sociology), Loop (graph theory), Artificial neural network, Function (biology), Fault (geology), Radial basis function network, Computer science, Basis (linear algebra), Control (management), Mathematics, Artificial intelligence, Biology, Combinatorics, Paleontology, Evolutionary biology, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.method. | 183 |
| abstract_inverted_index.monitor | 14 |
| abstract_inverted_index.monomer | 157 |
| abstract_inverted_index.network | 41 |
| abstract_inverted_index.process | 19, 50, 145 |
| abstract_inverted_index.reactor | 120 |
| abstract_inverted_index.results | 136, 171 |
| abstract_inverted_index.vector. | 106 |
| abstract_inverted_index.actuator | 108 |
| abstract_inverted_index.chemical | 18 |
| abstract_inverted_index.control. | 32 |
| abstract_inverted_index.employed | 70 |
| abstract_inverted_index.features | 101 |
| abstract_inverted_index.function | 39 |
| abstract_inverted_index.impurity | 162 |
| abstract_inverted_index.involved | 102 |
| abstract_inverted_index.network. | 86 |
| abstract_inverted_index.on-line. | 133 |
| abstract_inverted_index.overcome | 76 |
| abstract_inverted_index.proposed | 182 |
| abstract_inverted_index.reactor, | 24 |
| abstract_inverted_index.residual | 105 |
| abstract_inverted_index.training | 78 |
| abstract_inverted_index.weighted | 55 |
| abstract_inverted_index.Recursive | 63 |
| abstract_inverted_index.Simulink. | 122 |
| abstract_inverted_index.algorithm | 67 |
| abstract_inverted_index.detection | 6 |
| abstract_inverted_index.developed | 12 |
| abstract_inverted_index.different | 100 |
| abstract_inverted_index.dynamics, | 51 |
| abstract_inverted_index.including | 152 |
| abstract_inverted_index.isolation | 8 |
| abstract_inverted_index.nonlinear | 17, 116 |
| abstract_inverted_index.presented | 173 |
| abstract_inverted_index.residual. | 61 |
| abstract_inverted_index.simulated | 113 |
| abstract_inverted_index.subjected | 147 |
| abstract_inverted_index.Orthogonal | 64 |
| abstract_inverted_index.classifier | 95 |
| abstract_inverted_index.difficulty | 79 |
| abstract_inverted_index.illustrate | 175 |
| abstract_inverted_index.prediction | 57 |
| abstract_inverted_index.robustness | 179 |
| abstract_inverted_index.simulation | 117, 135, 170 |
| abstract_inverted_index.independent | 45, 82 |
| abstract_inverted_index.measurement | 167 |
| abstract_inverted_index.significant | 153 |
| abstract_inverted_index.sum-squared | 56 |
| abstract_inverted_index.Chylla-Haase | 22 |
| abstract_inverted_index.disturbances | 149 |
| abstract_inverted_index.temperature, | 165 |
| abstract_inverted_index.effectiveness | 139, 177 |
| abstract_inverted_index.multivariable | 16 |
| abstract_inverted_index.uncertainties | 151 |
| abstract_inverted_index.polymerization | 23 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.4099999964237213 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.11714863 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |