DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, JM | - |
dc.contributor.author | Qin, SJ | - |
dc.contributor.author | Lee, IB | - |
dc.date.accessioned | 2016-04-01T01:33:21Z | - |
dc.date.available | 2016-04-01T01:33:21Z | - |
dc.date.created | 2009-02-28 | - |
dc.date.issued | 2007-08 | - |
dc.identifier.issn | 0008-4034 | - |
dc.identifier.other | 2007-OAK-0000007142 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/23192 | - |
dc.description.abstract | In this paper, a new non-linear process monitoring method based on kernel independent component analysis (KICA) is developed. Its basic idea is to use KICA to extract some dominant independent components capturing non-linearity from normal operating process data and to combine them with statistical process monitoring techniques. The proposed method is applied to the fault detection in the Tennessee Eastman process and is compared with PCA, modified ICA, and KPCA. The proposed approach effectively captures the non-linear relationship in the process variables and showed superior fault detectability compared to other methods while attaining comparable false alarm rates. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | JOHN WILEY & SONS INC | - |
dc.relation.isPartOf | CANADIAN JOURNAL OF CHEMICAL ENGINEERING | - |
dc.subject | kernel independent component analysis (KICA) | - |
dc.subject | non-linear component analysis | - |
dc.subject | process monitoring | - |
dc.subject | fault detection | - |
dc.subject | principal component analysis (PAC) | - |
dc.subject | STATISTICAL PROCESS-CONTROL | - |
dc.subject | PROCESS-CONTROL CHARTS | - |
dc.subject | NEURAL-NETWORKS | - |
dc.subject | BATCH PROCESSES | - |
dc.subject | PERFORMANCE | - |
dc.subject | ALGORITHMS | - |
dc.subject | PCA | - |
dc.subject | ICA | - |
dc.title | Fault detection of non-linear processes using kernel independent component analysis | - |
dc.type | Article | - |
dc.contributor.college | 화학공학과 | - |
dc.identifier.doi | 10.1002/cjce.5450850414 | - |
dc.author.google | Lee, JM | - |
dc.author.google | Qin, SJ | - |
dc.author.google | Lee, IB | - |
dc.relation.volume | 85 | - |
dc.relation.issue | 4 | - |
dc.relation.startpage | 526 | - |
dc.relation.lastpage | 536 | - |
dc.contributor.id | 10104673 | - |
dc.relation.journal | CANADIAN JOURNAL OF CHEMICAL ENGINEERING | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | CANADIAN JOURNAL OF CHEMICAL ENGINEERING, v.85, no.4, pp.526 - 536 | - |
dc.identifier.wosid | 000249261800015 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 536 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 526 | - |
dc.citation.title | CANADIAN JOURNAL OF CHEMICAL ENGINEERING | - |
dc.citation.volume | 85 | - |
dc.contributor.affiliatedAuthor | Lee, IB | - |
dc.identifier.scopusid | 2-s2.0-34548593553 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 81 | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | STATISTICAL PROCESS-CONTROL | - |
dc.subject.keywordPlus | ALGORITHMS | - |
dc.subject.keywordPlus | CHARTS | - |
dc.subject.keywordPlus | PCA | - |
dc.subject.keywordPlus | ICA | - |
dc.subject.keywordAuthor | kernel independent component analysis (KICA) | - |
dc.subject.keywordAuthor | non-linear component analysis | - |
dc.subject.keywordAuthor | process monitoring | - |
dc.subject.keywordAuthor | fault detection | - |
dc.subject.keywordAuthor | principal component analysis (PAC) | - |
dc.relation.journalWebOfScienceCategory | Engineering, Chemical | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
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