Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey
The versatility of Artificial Intelligence (AI) in process systems is not restricted to modelling and control,only, but also as estimators to estimate the unmeasured parameters as an alternative to the conventional observers and hardware sensors. These estimators, also known as software sensors have...
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my.um.eprints.157232021-02-10T03:58:13Z http://eprints.um.edu.my/15723/ Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey Ali, J.M. Hussain, Mohd Azlan Tade, M.O. Zhang, J. T Technology (General) TP Chemical technology The versatility of Artificial Intelligence (AI) in process systems is not restricted to modelling and control,only, but also as estimators to estimate the unmeasured parameters as an alternative to the conventional observers and hardware sensors. These estimators, also known as software sensors have been successfully applied in many chemical process systems such as reactors, distillation columns, and heat exchanger due to their robustness, simple formulation, adaptation capabilities and minimum modelling requirements for the design. However, the various types of AI methods available make it difficult to decide on the most suitable algorithm to be applied for any particular system. Hence, in this paper, we provide a broad literature survey of several AI algorithms implemented as estimators in chemical systems together with their advantages, limitations, practical implications and comparisons between one another to guide researchers in selecting and designing the AI-based estimators. Future research suggestions and directions in improvising and extending the usage of these estimators in various chemical operating units are also presented. (C) 2015 Elsevier Ltd. All rights reserved 2015-08-15 Article PeerReviewed application/pdf en http://eprints.um.edu.my/15723/1/Artificial_Intelligence_techniques_applied_as_estimator_in_chemical_process_systems.pdf Ali, J.M. and Hussain, Mohd Azlan and Tade, M.O. and Zhang, J. (2015) Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey. Expert Systems with Applications, 42 (14). pp. 5915-5931. ISSN 0957-4174 http://www.sciencedirect.com/science/article/pii/S0957417415002171 |
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T Technology (General) TP Chemical technology Ali, J.M. Hussain, Mohd Azlan Tade, M.O. Zhang, J. Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey |
| description |
The versatility of Artificial Intelligence (AI) in process systems is not restricted to modelling and control,only, but also as estimators to estimate the unmeasured parameters as an alternative to the conventional observers and hardware sensors. These estimators, also known as software sensors have been successfully applied in many chemical process systems such as reactors, distillation columns, and heat exchanger due to their robustness, simple formulation, adaptation capabilities and minimum modelling requirements for the design. However, the various types of AI methods available make it difficult to decide on the most suitable algorithm to be applied for any particular system. Hence, in this paper, we provide a broad literature survey of several AI algorithms implemented as estimators in chemical systems together with their advantages, limitations, practical implications and comparisons between one another to guide researchers in selecting and designing the AI-based estimators. Future research suggestions and directions in improvising and extending the usage of these estimators in various chemical operating units are also presented. (C) 2015 Elsevier Ltd. All rights reserved |
| format |
Article |
| author |
Ali, J.M. Hussain, Mohd Azlan Tade, M.O. Zhang, J. |
| author_facet |
Ali, J.M. Hussain, Mohd Azlan Tade, M.O. Zhang, J. |
| author_sort |
Ali, J.M. |
| title |
Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey |
| title_short |
Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey |
| title_full |
Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey |
| title_fullStr |
Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey |
| title_full_unstemmed |
Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey |
| title_sort |
artificial intelligence techniques applied as estimator in chemical process systems - a literature survey |
| publishDate |
2015 |
| url |
http://eprints.um.edu.my/15723/1/Artificial_Intelligence_techniques_applied_as_estimator_in_chemical_process_systems.pdf http://eprints.um.edu.my/15723/ http://www.sciencedirect.com/science/article/pii/S0957417415002171 |
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1691733413894029312 |
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13.211869 |