Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIT.2006.372576
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dc.titleTransition classification and performance analysis: A study on industrial hydro-cracker
dc.contributor.authorNg, Y.S.
dc.contributor.authorYu, W.
dc.contributor.authorSrinivasan, R.
dc.date.accessioned2014-10-09T07:08:43Z
dc.date.available2014-10-09T07:08:43Z
dc.date.issued2006
dc.identifier.citationNg, Y.S.,Yu, W.,Srinivasan, R. (2006). Transition classification and performance analysis: A study on industrial hydro-cracker. Proceedings of the IEEE International Conference on Industrial Technology : 1338-1343. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICIT.2006.372576" target="_blank">https://doi.org/10.1109/ICIT.2006.372576</a>
dc.identifier.isbn1424407265
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/90752
dc.description.abstractThe process industries have increasingly focused on the domain of agile manufacturing to increase their competitiveness globally. Agile plants operate in a number of modes and frequently switch between them. The process of mode switching is termed as process transition. This paper seeks to optimize transition operations by developing a methodology to identify and classify different types of transitions from continuous production data. Traditional data analysis methods perform poorly on multi-state temporal signals, so, a new method based on principal component analysis is proposed for transition classification. By analyzing previous plant operating data, different instances of a transition can be identified. Good operating strategies are then extracted by comparing the instances. A self-organizing map based method is also proposed for visualization of process transitions. We illustrate the proposed transitions classification and performance analysis methods by application to a refinery hydro-cracker.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICIT.2006.372576
dc.sourceScopus
dc.subjectClassification
dc.subjectState-identification
dc.subjectTransition performance analysis
dc.typeConference Paper
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1109/ICIT.2006.372576
dc.description.sourcetitleProceedings of the IEEE International Conference on Industrial Technology
dc.description.page1338-1343
dc.description.coden85RSA
dc.identifier.isiutNOT_IN_WOS
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