Hybrid Fault Detection Method for a Distillation Unit

Fault detection and isolation have become increasingly important problems over time, due to the more complex and larger scale industrial systems. The last few decades have seen a rise in research focused on developing robust and sensitive fault detection methods. Approaches using mathematical models...

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Autores principales:	Bálint Levente Tarcsay, Sándor Németh, Tibor Chován, Ágnes Bárkányi
Formato:	article
Lenguaje:	EN
Publicado:	AIDIC Servizi S.r.l. 2021
Materias:	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/57b85c14fd9946fc8546d6300e4e0803
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id	oai:doaj.org-article:57b85c14fd9946fc8546d6300e4e0803
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spelling	oai:doaj.org-article:57b85c14fd9946fc8546d6300e4e08032021-11-15T21:48:26ZHybrid Fault Detection Method for a Distillation Unit10.3303/CET21880652283-9216https://doaj.org/article/57b85c14fd9946fc8546d6300e4e08032021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11858https://doaj.org/toc/2283-9216Fault detection and isolation have become increasingly important problems over time, due to the more complex and larger scale industrial systems. The last few decades have seen a rise in research focused on developing robust and sensitive fault detection methods. Approaches using mathematical models, qualitative logic or operation data driven solutions were developed and while they all performed well overall some lacked in robustness and others in flexibility or sensitivity. In this study a hybrid fault detection approach using both parity relation methods and a Fuzzy Expert System (FES) to analyse and detect process faults in a distillation unit is introduced. The combination of the two schemes was used to handle the detection and classification of additive and multiplicative faults. The effectiveness of the hybrid method in alleviating the shortcomings of the single techniques has been verified by simulation and experimental tests.Bálint Levente TarcsaySándor NémethTibor ChovánÁgnes BárkányiAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 Bálint Levente Tarcsay Sándor Németh Tibor Chován Ágnes Bárkányi Hybrid Fault Detection Method for a Distillation Unit
description	Fault detection and isolation have become increasingly important problems over time, due to the more complex and larger scale industrial systems. The last few decades have seen a rise in research focused on developing robust and sensitive fault detection methods. Approaches using mathematical models, qualitative logic or operation data driven solutions were developed and while they all performed well overall some lacked in robustness and others in flexibility or sensitivity. In this study a hybrid fault detection approach using both parity relation methods and a Fuzzy Expert System (FES) to analyse and detect process faults in a distillation unit is introduced. The combination of the two schemes was used to handle the detection and classification of additive and multiplicative faults. The effectiveness of the hybrid method in alleviating the shortcomings of the single techniques has been verified by simulation and experimental tests.
format	article
author	Bálint Levente Tarcsay Sándor Németh Tibor Chován Ágnes Bárkányi
author_facet	Bálint Levente Tarcsay Sándor Németh Tibor Chován Ágnes Bárkányi
author_sort	Bálint Levente Tarcsay
title	Hybrid Fault Detection Method for a Distillation Unit
title_short	Hybrid Fault Detection Method for a Distillation Unit
title_full	Hybrid Fault Detection Method for a Distillation Unit
title_fullStr	Hybrid Fault Detection Method for a Distillation Unit
title_full_unstemmed	Hybrid Fault Detection Method for a Distillation Unit
title_sort	hybrid fault detection method for a distillation unit
publisher	AIDIC Servizi S.r.l.
publishDate	2021
url	https://doaj.org/article/57b85c14fd9946fc8546d6300e4e0803
work_keys_str_mv	AT balintleventetarcsay hybridfaultdetectionmethodforadistillationunit AT sandornemeth hybridfaultdetectionmethodforadistillationunit AT tiborchovan hybridfaultdetectionmethodforadistillationunit AT agnesbarkanyi hybridfaultdetectionmethodforadistillationunit
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Hybrid Fault Detection Method for a Distillation Unit

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