MTConnect를 활용한 수치제어 프로그램의 에너지 예측 모델링
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 신승준 | - |
dc.contributor.author | 우정엽 | - |
dc.contributor.author | 서원철 | - |
dc.contributor.author | 정여진 | - |
dc.date.accessioned | 2022-07-14T03:37:30Z | - |
dc.date.available | 2022-07-14T03:37:30Z | - |
dc.date.created | 2021-05-14 | - |
dc.date.issued | 2017-05 | - |
dc.identifier.issn | 1225-9071 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/152378 | - |
dc.description.abstract | In the metal-cutting industry, energy prediction is important for environmentally-conscious manufacturing because it enables a numerical anticipation of the energy consumption from the input of the process parameters, and therefore it contributes to the increasing of the energy-efficiency of the machine-tool operations. This paper proposes an energy-prediction modeling approach for numerical-control programs based on historical machine-monitoring data that have been collected from machine-tool operations. The proposed approach can create accurate energy-prediction models that forecast the energy that is consumed by the execution of a numerical-control program. Also, it can create machine-specific energy-prediction models that accommodate the variety of shop-floor machining contexts. For this purpose, it uses MTConnect to represent the machine-monitoring data to embody an interoperable data-collection environment regarding the shop floor. This paper also presents a case study to show the feasibility and practicability of the proposed approach. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 한국정밀공학회 | - |
dc.title | MTConnect를 활용한 수치제어 프로그램의 에너지 예측 모델링 | - |
dc.title.alternative | Energy Prediction Modeling for Numerical Control Programs Using MTConnect | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 신승준 | - |
dc.identifier.doi | 10.7736/KSPE.2017.34.5.355 | - |
dc.identifier.scopusid | 2-s2.0-85021199366 | - |
dc.identifier.bibliographicCitation | 한국정밀공학회지, v.34, no.5, pp.355 - 362 | - |
dc.relation.isPartOf | 한국정밀공학회지 | - |
dc.citation.title | 한국정밀공학회지 | - |
dc.citation.volume | 34 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 355 | - |
dc.citation.endPage | 362 | - |
dc.type.rims | ART | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.identifier.kciid | ART002220190 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Data analytics | - |
dc.subject.keywordAuthor | Energy prediction | - |
dc.subject.keywordAuthor | Machine tool | - |
dc.subject.keywordAuthor | Machine-learning | - |
dc.subject.keywordAuthor | MTConnect | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07159344&language=ko_KR&hasTopBanner=true | - |
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