DC Field | Value | Language |
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dc.contributor.author | Cho, HW | - |
dc.contributor.author | Kim, KJ | - |
dc.date.accessioned | 2016-03-31T12:41:34Z | - |
dc.date.available | 2016-03-31T12:41:34Z | - |
dc.date.created | 2009-02-28 | - |
dc.date.issued | 2004-02-01 | - |
dc.identifier.issn | 0020-7543 | - |
dc.identifier.other | 2003-OAK-0000003869 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/18208 | - |
dc.description.abstract | A new statistical online diagnosis method for a batch process is proposed. The proposed method consists of two phases: offline model building and online diagnosis. The offline model building phase constructs an empirical model, called a discriminant model, using various past batch runs. When a fault of a new batch is detected, the online diagnosis phase is initiated. The behaviour of the new batch is referenced against the model, developed in the offline model building phase, to make a diagnostic decision. The diagnosis performance of the proposed method is tested using a dataset from a PVC batch process. It has been shown that the proposed method outperforms existing PCA-based diagnosis methods, especially at the onset of a fault. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | - |
dc.subject | PRINCIPAL COMPONENT ANALYSIS | - |
dc.subject | PARTIAL LEAST-SQUARES | - |
dc.subject | PATTERN-RECOGNITION | - |
dc.subject | CHEMICAL-PROCESSES | - |
dc.subject | SYSTEMS | - |
dc.subject | REDUNDANCY | - |
dc.subject | MULTIBLOCK | - |
dc.subject | ALGORITHM | - |
dc.subject | DESIGN | - |
dc.subject | PLS | - |
dc.title | Fault diagnosis of batch processes using discriminant model | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1080/00207540310001602928 | - |
dc.author.google | Cho, HW | - |
dc.author.google | Kim, KJ | - |
dc.relation.volume | 42 | - |
dc.relation.issue | 3 | - |
dc.relation.startpage | 597 | - |
dc.relation.lastpage | 612 | - |
dc.contributor.id | 10084322 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.42, no.3, pp.597 - 612 | - |
dc.identifier.wosid | 000187028500009 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 612 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 597 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | - |
dc.citation.volume | 42 | - |
dc.contributor.affiliatedAuthor | Kim, KJ | - |
dc.identifier.scopusid | 2-s2.0-1342287327 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 11 | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | PARTIAL LEAST-SQUARES | - |
dc.subject.keywordPlus | CHEMICAL-PROCESSES | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | MULTIBLOCK | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.relation.journalWebOfScienceCategory | Engineering, Manufacturing | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
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