Soft Sensor for NOx Emission using Dynamical Neural Network
In this paper we propose a soft sensor for prediction of NOx emission from the combustion unit of industrial boilers. The soft sensor is based on a dynamical neural network model. A simplified structure of the dynamical neural network model is achieved by grouping the input variables using basic kno...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , |
| التنسيق: | article |
| منشور في: |
2020
|
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/1457/1/d2_s9_p4_1569043201.pdf |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513389545390080 |
|---|---|
| author | Shakil, M. |
| author2 | Elshafei, M. Habib, M. A. Al-Maleki, F. unknown |
| author2_role | author author author author |
| author_facet | Shakil, M. Elshafei, M. Habib, M. A. Al-Maleki, F. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Shakil, M. Elshafei, M. Habib, M. A. Al-Maleki, F. unknown |
| dc.date.*.fl_str_mv | 2020 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/1457/1/d2_s9_p4_1569043201.pdf Soft Sensor for NOx Emission using Dynamical Neural Network. IEEEGCC 2007. |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/1457/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Soft Sensor for NOx Emission using Dynamical Neural Network |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | In this paper we propose a soft sensor for prediction of NOx emission from the combustion unit of industrial boilers. The soft sensor is based on a dynamical neural network model. A simplified structure of the dynamical neural network model is achieved by grouping the input variables using basic knowledge of the system. Neural network model is trained using real data logs of an industrial boiler. Principal Component Analysis (PCA) is used to reduce number of input variables. Lag space for the model is found by using genetic algorithm to find the best time delayed model. Lag space obtained from the linear model is then used for constriction of the dynamical neural network. The proposed model is validated using different data from the same boiler and its ability to accurately predict NOx emission from the boiler is demonstrated. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_2b11ec7932276a35ab9f2fff4edf513e |
| identifier_str_mv | Soft Sensor for NOx Emission using Dynamical Neural Network. IEEEGCC 2007. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::1457 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Soft Sensor for NOx Emission using Dynamical Neural NetworkShakil, M.Elshafei, M.Habib, M. A.Al-Maleki, F.unknownIn this paper we propose a soft sensor for prediction of NOx emission from the combustion unit of industrial boilers. The soft sensor is based on a dynamical neural network model. A simplified structure of the dynamical neural network model is achieved by grouping the input variables using basic knowledge of the system. Neural network model is trained using real data logs of an industrial boiler. Principal Component Analysis (PCA) is used to reduce number of input variables. Lag space for the model is found by using genetic algorithm to find the best time delayed model. Lag space obtained from the linear model is then used for constriction of the dynamical neural network. The proposed model is validated using different data from the same boiler and its ability to accurately predict NOx emission from the boiler is demonstrated.ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/1457/1/d2_s9_p4_1569043201.pdf Soft Sensor for NOx Emission using Dynamical Neural Network. IEEEGCC 2007. enhttps://eprints.kfupm.edu.sa/id/eprint/1457/2020info:eu-repo/semantics/openAccessoai::14572019-11-01T13:27:02Z |
| spellingShingle | Soft Sensor for NOx Emission using Dynamical Neural Network Shakil, M. |
| status_str | publishedVersion |
| title | Soft Sensor for NOx Emission using Dynamical Neural Network |
| title_full | Soft Sensor for NOx Emission using Dynamical Neural Network |
| title_fullStr | Soft Sensor for NOx Emission using Dynamical Neural Network |
| title_full_unstemmed | Soft Sensor for NOx Emission using Dynamical Neural Network |
| title_short | Soft Sensor for NOx Emission using Dynamical Neural Network |
| title_sort | Soft Sensor for NOx Emission using Dynamical Neural Network |
| url | https://eprints.kfupm.edu.sa/id/eprint/1457/1/d2_s9_p4_1569043201.pdf |