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

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:	TP Chemical technology
Online Access:	http://eprints.utm.my/id/eprint/4293/1/HengHanYannMFChE2005.pdf
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id	my-utm-ep.4293
record_format	uketd_dc
spelling	my-utm-ep.42932018-01-16T08:22:26Z Development of a rule-based fault diagnostic advisory system for precut fractionation column 2005 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 http://eprints.utm.my/id/eprint/4293/ http://eprints.utm.my/id/eprint/4293/1/HengHanYannMFChE2005.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Chemical and Natural Resources Engineering Faculty of Chemical and Natural Resources Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
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
qualification_level	Master's degree
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
granting_institution	Universiti Teknologi Malaysia, Faculty of Chemical and Natural Resources Engineering
granting_department	Faculty of Chemical and Natural Resources Engineering
publishDate	2005
url	http://eprints.utm.my/id/eprint/4293/1/HengHanYannMFChE2005.pdf
_version_	1747814508891471872

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

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