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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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Main Authors: Leong, Wah Heng, Ahmad, Arshad
格式: Conference or Workshop Item
語言:English
出版: 1997
主題:
T Technology (General)
在線閱讀:http://eprints.utm.my/id/eprint/4715/1/LeongWahHeng1997_ModelBasedFaultDetection.pdf
http://eprints.utm.my/id/eprint/4715/
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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

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