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Fault isolation and intensity estimation strategies based on signed digraph and support vector machine models : 화학공정의 조업지원을 위한 SDG와 SVM모델을 이용한 이상진단 및 이상세기 예측 알고리즘 연구
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 윤인섭 | - |
| dc.contributor.author | 이창준 | - |
| dc.date.accessioned | 2009-11-18T05:01:57Z | - |
| dc.date.available | 2009-11-18T05:01:57Z | - |
| dc.date.copyright | 2007. | - |
| dc.date.issued | 2007 | - |
| dc.identifier.uri | http://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000045200 | eng |
| dc.identifier.uri | https://hdl.handle.net/10371/13006 | - |
| dc.description | Thesis(doctor`s)--서울대학교 대학원 :화학생물공학부,2007. | eng |
| dc.format.extent | xi, 145 leaves | eng |
| dc.language.iso | en | - |
| dc.publisher | 서울대학교 대학원 | eng |
| dc.subject | Fault diagnosis | eng |
| dc.subject | Signed digraph | eng |
| dc.subject | Support vector machine | eng |
| dc.subject | Fault intensity model | eng |
| dc.subject | Fault boundary model | eng |
| dc.title | Fault isolation and intensity estimation strategies based on signed digraph and support vector machine models | eng |
| dc.title.alternative | 화학공정의 조업지원을 위한 SDG와 SVM모델을 이용한 이상진단 및 이상세기 예측 알고리즘 연구 | eng |
| dc.type | Thesis | - |
| dc.contributor.department | 화학생물공학부 | - |
| dc.description.degree | Doctor | eng |
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