MARC表示: Model based fault detection in process plant

Model based fault detection in process plant

In this paper, the application of neural network in detecting sensor failures is presented. The study was conducted on the Tennessee Eastman test problem. Faulty conditions were generated by imposing sensor failures in the reactor operation. Both single and multiple fault conditions were investigate...

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主要な著者:	Leong, Wah Heng, Ahmad, Arshad
フォーマット:	Conference or Workshop Item
言語:	English
出版事項:	1997
主題:	T Technology (General)
オンライン･アクセス:	http://eprints.utm.my/id/eprint/4715/1/LeongWahHeng1997_ModelBasedFaultDetection.pdf http://eprints.utm.my/id/eprint/4715/
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id	my.utm.4715
record_format	eprints
spelling	my.utm.47152017-08-27T01:32:39Z http://eprints.utm.my/id/eprint/4715/ Model based fault detection in process plant Leong, Wah Heng Ahmad, Arshad T Technology (General) In this paper, the application of neural network in detecting sensor failures is presented. The study was conducted on the Tennessee Eastman test problem. Faulty conditions were generated by imposing sensor failures in the reactor operation. Both single and multiple fault conditions were investigated. The results revealed that a three layer feedforward network was capable of providing the intended function. 1997 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/4715/1/LeongWahHeng1997_ModelBasedFaultDetection.pdf Leong, Wah Heng and Ahmad, Arshad (1997) Model based fault detection in process plant. In: Regional Symposium on Chemical Engineering 1997 in conjunction with 13th Symposium of Malaysian Chemical Engineers, 13-15 October 1997, Hyatt Regency, Johor, Malaysia.
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Leong, Wah Heng Ahmad, Arshad Model based fault detection in process plant
description	In this paper, the application of neural network in detecting sensor failures is presented. The study was conducted on the Tennessee Eastman test problem. Faulty conditions were generated by imposing sensor failures in the reactor operation. Both single and multiple fault conditions were investigated. The results revealed that a three layer feedforward network was capable of providing the intended function.
format	Conference or Workshop Item
author	Leong, Wah Heng Ahmad, Arshad
author_facet	Leong, Wah Heng Ahmad, Arshad
author_sort	Leong, Wah Heng
title	Model based fault detection in process plant
title_short	Model based fault detection in process plant
title_full	Model based fault detection in process plant
title_fullStr	Model based fault detection in process plant
title_full_unstemmed	Model based fault detection in process plant
title_sort	model based fault detection in process plant
publishDate	1997
url	http://eprints.utm.my/id/eprint/4715/1/LeongWahHeng1997_ModelBasedFaultDetection.pdf http://eprints.utm.my/id/eprint/4715/
_version_	1643644132038541312
score	13.250246

Model based fault detection in process plant

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