Development of a rule-based fault diagnostic advisory system for precut fractionation column

This research presents a Fault Diagnostic Advisory (FDA) System which can be used to detect and diagnose unexpected process deviation in the operation of fatty acid precut fractionation column. The developed algorithm is expected to enhance the safety of operation in oleochemical industry. Early det...

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Main Author: Heng, Han Yann
Format: Thesis
Language:English
Published: 2005
Subjects:
Online Access:http://eprints.utm.my/id/eprint/4293/1/HengHanYannMFChE2005.pdf
http://eprints.utm.my/id/eprint/4293/
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.42932018-01-16T08:22:26Z http://eprints.utm.my/id/eprint/4293/ Development of a rule-based fault diagnostic advisory system for precut fractionation column Heng, Han Yann TP Chemical technology This research presents a Fault Diagnostic Advisory (FDA) System which can be used to detect and diagnose unexpected process deviation in the operation of fatty acid precut fractionation column. The developed algorithm is expected to enhance the safety of operation in oleochemical industry. Early detection and diagnosis is useful to avoid abnormal condition that might lead to the loss of both human live and economic values. The advisory system algorithm used process history based method and presented by rule-based approach. It was developed using Borland C++ Builder 6.0 and had a user friendly interface. Plant model was simulated by using commercial simulator, HYSYS.PlantTM and verified with real plant data. Univariate Statistical Process Control technique (Individual and Moving Range (x-MR) chart) and Hazard and Operability (HAZOP) Study were used for the diagnostic task. The system detected and diagnosed process deviations using the saved data and the set limit. Fault occurred if the data value was out of limits. The interface of FDA System then displayed the results in the form of charts. Finally, the causes and consequences of fault were displayed. Although the scheme was developed based on data of fatty acid precut fractionation column, the algorithm of fault detection and diagnosis can be extended to other chemical process by changing the x-MR chart and HAZOP for each selected monitoring variables. 2005 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/4293/1/HengHanYannMFChE2005.pdf Heng, Han Yann (2005) Development of a rule-based fault diagnostic advisory system for precut fractionation column. Masters thesis, Universiti Teknologi Malaysia, Faculty of Chemical and Natural Resources Engineering.
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 TP Chemical technology
spellingShingle TP Chemical technology
Heng, Han Yann
Development of a rule-based fault diagnostic advisory system for precut fractionation column
description This research presents a Fault Diagnostic Advisory (FDA) System which can be used to detect and diagnose unexpected process deviation in the operation of fatty acid precut fractionation column. The developed algorithm is expected to enhance the safety of operation in oleochemical industry. Early detection and diagnosis is useful to avoid abnormal condition that might lead to the loss of both human live and economic values. The advisory system algorithm used process history based method and presented by rule-based approach. It was developed using Borland C++ Builder 6.0 and had a user friendly interface. Plant model was simulated by using commercial simulator, HYSYS.PlantTM and verified with real plant data. Univariate Statistical Process Control technique (Individual and Moving Range (x-MR) chart) and Hazard and Operability (HAZOP) Study were used for the diagnostic task. The system detected and diagnosed process deviations using the saved data and the set limit. Fault occurred if the data value was out of limits. The interface of FDA System then displayed the results in the form of charts. Finally, the causes and consequences of fault were displayed. Although the scheme was developed based on data of fatty acid precut fractionation column, the algorithm of fault detection and diagnosis can be extended to other chemical process by changing the x-MR chart and HAZOP for each selected monitoring variables.
format Thesis
author Heng, Han Yann
author_facet Heng, Han Yann
author_sort Heng, Han Yann
title Development of a rule-based fault diagnostic advisory system for precut fractionation column
title_short Development of a rule-based fault diagnostic advisory system for precut fractionation column
title_full Development of a rule-based fault diagnostic advisory system for precut fractionation column
title_fullStr Development of a rule-based fault diagnostic advisory system for precut fractionation column
title_full_unstemmed Development of a rule-based fault diagnostic advisory system for precut fractionation column
title_sort development of a rule-based fault diagnostic advisory system for precut fractionation column
publishDate 2005
url http://eprints.utm.my/id/eprint/4293/1/HengHanYannMFChE2005.pdf
http://eprints.utm.my/id/eprint/4293/
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