DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoo, CK | - |
dc.contributor.author | Lee, IB | - |
dc.contributor.author | Vanrolleghem, PA | - |
dc.date.accessioned | 2016-04-01T01:49:25Z | - |
dc.date.available | 2016-04-01T01:49:25Z | - |
dc.date.created | 2009-02-28 | - |
dc.date.issued | 2006-08 | - |
dc.identifier.issn | 0167-6369 | - |
dc.identifier.other | 2006-OAK-0000006285 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/23782 | - |
dc.description.abstract | This article describes the application of on-line nonlinear monitoring of a sequencing batch reactor (SBR). Three-way batch data of SBR are unfolded batch-wisely, and then a adaptive and nonlinear multivariate monitoring method is used to capture the nonlinear characteristics of normal batches. The approach is successfully applied to an 80 L SBR for biological wastewater treatment, where the SBR poses an interesting challenge in view of process monitoring since it is characterized by nonstationary, batchwise, multistage, and nonlinear dynamics. In on-line batch monitoring, the developed adaptive and nonlinear process monitoring method can effectively capture the nonlinear relationship among process variables of a biological process in a SBR. The results of this pilot-scale SBR monitoring system using simple on-line measurements clearly demonstrated that the adaptive and nonlinear monitoring technique showed lower false alarm rate and physically meaningful, that is, robust monitoring results. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | SPRINGER | - |
dc.relation.isPartOf | ENVIRONMENTAL MONITORING AND ASSESSMENT | - |
dc.subject | adaptive batch monitoring | - |
dc.subject | multiway kernel principal component analysis (MKPCA) | - |
dc.subject | nonlinear biological process | - |
dc.subject | sequencing batch reactor (SBR) | - |
dc.subject | PRINCIPAL COMPONENT ANALYSIS | - |
dc.subject | MULTIVARIATE | - |
dc.title | On-line adaptive and nonlinear process monitoring of a pilot scale sequencing batch reactor | - |
dc.type | Article | - |
dc.contributor.college | 화학공학과 | - |
dc.identifier.doi | 10.1007/S10661-005-9 | - |
dc.author.google | Yoo, CK | - |
dc.author.google | Lee, IB | - |
dc.author.google | Vanrolleghem, PA | - |
dc.relation.volume | 119 | - |
dc.relation.issue | 1-3 | - |
dc.relation.startpage | 349 | - |
dc.relation.lastpage | 366 | - |
dc.contributor.id | 10104673 | - |
dc.relation.journal | ENVIRONMENTAL MONITORING AND ASSESSMENT | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | ENVIRONMENTAL MONITORING AND ASSESSMENT, v.119, no.1-3, pp.349 - 366 | - |
dc.identifier.wosid | 000241170900020 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 366 | - |
dc.citation.number | 1-3 | - |
dc.citation.startPage | 349 | - |
dc.citation.title | ENVIRONMENTAL MONITORING AND ASSESSMENT | - |
dc.citation.volume | 119 | - |
dc.contributor.affiliatedAuthor | Lee, IB | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 9 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | adaptive batch monitoring | - |
dc.subject.keywordAuthor | multiway kernel principal component analysis (MKPCA) | - |
dc.subject.keywordAuthor | nonlinear biological process | - |
dc.subject.keywordAuthor | sequencing batch reactor (SBR) | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
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