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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

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Authors

이창준

Advisor
윤인섭
Issue Date
2007
Publisher
서울대학교 대학원
Keywords
Fault diagnosisSigned digraphSupport vector machineFault intensity modelFault boundary model
Description
Thesis(doctor`s)--서울대학교 대학원 :화학생물공학부,2007.
Language
English
URI
http://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000045200

https://hdl.handle.net/10371/13006
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