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Application Studies, Part-I: Model Identification and Validation

In Chaps. 4 and 5, all the theories needed for developing fault detection relevant models in either static or dynamic conditions, and a method for estimating their uncertainties, respectively, have been thoroughly discussed. The good side about the presented approaches is that they are all nonlinear...

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Main Author: Lemma, T.A.
Format: Article
Published: Springer Verlag 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039984661&doi=10.1007%2f978-3-319-71871-2_6&partnerID=40&md5=85348204c676b3900b14d782269449d6
http://eprints.utp.edu.my/21891/
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spelling my.utp.eprints.218912018-08-01T01:14:01Z Application Studies, Part-I: Model Identification and Validation Lemma, T.A. In Chaps. 4 and 5, all the theories needed for developing fault detection relevant models in either static or dynamic conditions, and a method for estimating their uncertainties, respectively, have been thoroughly discussed. The good side about the presented approaches is that they are all nonlinear in parameter models. Even more interesting is the dynamic models in the framework of OBFs. In this chapter, the application of the proposed theories to a specific Cogeneration and Cooling Plant (CCP) is presented. First, detail description of the CCP is provided in Sect. 6.2. Secondly, the use of the static and dynamic models developed for the critical sub-systems GTG, HRSG and SAC are investigated in Sect. 6.3. In the same section are contained analyses of the effect of model structure, error assumption and optimization algorithms on model uncertainty. Validation of the semi-empirical models for the GTG and HRSG are also included. Finally, Sect. 6.4 provides a summary of the contribution from this chapter. © 2018, Springer International Publishing AG. Springer Verlag 2018 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039984661&doi=10.1007%2f978-3-319-71871-2_6&partnerID=40&md5=85348204c676b3900b14d782269449d6 Lemma, T.A. (2018) Application Studies, Part-I: Model Identification and Validation. Studies in Computational Intelligence, 743 . pp. 119-169. http://eprints.utp.edu.my/21891/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description In Chaps. 4 and 5, all the theories needed for developing fault detection relevant models in either static or dynamic conditions, and a method for estimating their uncertainties, respectively, have been thoroughly discussed. The good side about the presented approaches is that they are all nonlinear in parameter models. Even more interesting is the dynamic models in the framework of OBFs. In this chapter, the application of the proposed theories to a specific Cogeneration and Cooling Plant (CCP) is presented. First, detail description of the CCP is provided in Sect. 6.2. Secondly, the use of the static and dynamic models developed for the critical sub-systems GTG, HRSG and SAC are investigated in Sect. 6.3. In the same section are contained analyses of the effect of model structure, error assumption and optimization algorithms on model uncertainty. Validation of the semi-empirical models for the GTG and HRSG are also included. Finally, Sect. 6.4 provides a summary of the contribution from this chapter. © 2018, Springer International Publishing AG.
format Article
author Lemma, T.A.
spellingShingle Lemma, T.A.
Application Studies, Part-I: Model Identification and Validation
author_facet Lemma, T.A.
author_sort Lemma, T.A.
title Application Studies, Part-I: Model Identification and Validation
title_short Application Studies, Part-I: Model Identification and Validation
title_full Application Studies, Part-I: Model Identification and Validation
title_fullStr Application Studies, Part-I: Model Identification and Validation
title_full_unstemmed Application Studies, Part-I: Model Identification and Validation
title_sort application studies, part-i: model identification and validation
publisher Springer Verlag
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039984661&doi=10.1007%2f978-3-319-71871-2_6&partnerID=40&md5=85348204c676b3900b14d782269449d6
http://eprints.utp.edu.my/21891/
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score 13.211869

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