Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/63827
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dc.titleEmpirical modeling of a pulse-jet fabric filter: An experimental study
dc.contributor.authorZhuang, H.
dc.contributor.authorCheng, C.
dc.contributor.authorChiu, M.-S.
dc.date.accessioned2014-06-17T07:40:00Z
dc.date.available2014-06-17T07:40:00Z
dc.date.issued2004-01
dc.identifier.citationZhuang, H.,Cheng, C.,Chiu, M.-S. (2004-01). Empirical modeling of a pulse-jet fabric filter: An experimental study. Journal of the Chinese Institute of Chemical Engineers 35 (1) : 17-22. ScholarBank@NUS Repository.
dc.identifier.issn03681653
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63827
dc.description.abstractIn this paper, a comparative study of the two methods, the multiple-models and just-in-time learning (JITL) method, for empirical modeling of a pilot pule-jet fabric filter is presented. A salient feature of this filtration process is that its dynamics frequently undergoes changes caused by the variation in the dust concentration of the inlet air stream. Experimental results show that JITL not only gives better overall modeling accuracy but also it can predict the filter dynamics in the absence of the inlet dust concentration, which is either imprecisely known or unavailable in the industrial applications.
dc.sourceScopus
dc.subjectJust-in-time learning
dc.subjectMultiple-models
dc.subjectPulse-jet fabric filter
dc.typeArticle
dc.contributor.departmentCHEMICAL & ENVIRONMENTAL ENGINEERING
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.sourcetitleJournal of the Chinese Institute of Chemical Engineers
dc.description.volume35
dc.description.issue1
dc.description.page17-22
dc.description.codenJCICA
dc.identifier.isiutNOT_IN_WOS
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