Fault detection and diagnosis using rule-based support system on fatty acid fractionation column

This paper presents a unified approach to process fault detection and diagnosis (FDD) intelligent program for pre-cut fatty acid fractionation column. Process history based methods (rule-based feature extraction) is used to implement the FDD rule-based support system. Plant model was simulated by us...

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Bibliographic Details
Main Authors: Yann, H. H., Ali, Mohamad Wijayanuddin, Kamsah, Mohd Zaki
Format: Article
Language:English
Published: Universiti Malaysia Sabah 2003
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Online Access:http://eprints.utm.my/id/eprint/8023/1/H.H.Yann2003_FaultDetectionAndDiagnosisUsingRule-Based.pdf
http://eprints.utm.my/id/eprint/8023/
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Institution: Universiti Teknologi Malaysia
Language: English

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