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Development of Machine Learning based Model for Anomaly Detection and Fault Cause Diagnosis of Assets in Petrochemical Industries

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dc.contributor.authorPilsung Kang-
dc.date.accessioned2022-05-28T08:41:48Z-
dc.date.available2022-05-28T08:41:48Z-
dc.date.created2022-05-28-
dc.date.issued2022-05-18-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/141339-
dc.publisherIEEE-
dc.titleDevelopment of Machine Learning based Model for Anomaly Detection and Fault Cause Diagnosis of Assets in Petrochemical Industries-
dc.title.alternativeDevelopment of Machine Learning based Model for Anomaly Detection and Fault Cause Diagnosis of Assets in Petrochemical Industries-
dc.typeConference-
dc.contributor.affiliatedAuthorPilsung Kang-
dc.identifier.bibliographicCitationCITDS 2022 : 2022 IEEE 2nd Conference on Information Technology and Data Science-
dc.relation.isPartOfCITDS 2022 : 2022 IEEE 2nd Conference on Information Technology and Data Science-
dc.relation.isPartOfProceedings of CITDS 2022-
dc.citation.titleCITDS 2022 : 2022 IEEE 2nd Conference on Information Technology and Data Science-
dc.citation.conferencePlaceHU-
dc.citation.conferenceDate2022-05-16-
dc.type.rimsCONF-
dc.description.journalClass1-
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공과대학 (산업경영공학부)
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