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온도 챔버 측정시스템의 강건설계 사례연구
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 양일영 | - |
| dc.contributor.author | 변재현 | - |
| dc.date.accessioned | 2023-01-03T02:34:03Z | - |
| dc.date.available | 2023-01-03T02:34:03Z | - |
| dc.date.issued | 2022-10 | - |
| dc.identifier.issn | 1225-0988 | - |
| dc.identifier.issn | 2234-6457 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/29794 | - |
| dc.description.abstract | A case study is presented applying the signal-response robust design approach to optimize temperature measurement system of a test chamber. Control factors are identified by cause and effect diagram and noises are reflected by a compound noise factor to reduce the size of the experiment. fractional factorial design is employed with two replications and three signal factor levels. Experimental data are analyzed by the response function modeling, and optimal conditions for the control factors are determined. | - |
| dc.format.extent | 12 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 대한산업공학회 | - |
| dc.title | 온도 챔버 측정시스템의 강건설계 사례연구 | - |
| dc.title.alternative | A Case Study on the Robust Design of Temperature Chamber Measurement System | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.7232/JKIIE.2022.48.5.441 | - |
| dc.identifier.bibliographicCitation | 대한산업공학회지, v.48, no.5, pp 441 - 452 | - |
| dc.citation.title | 대한산업공학회지 | - |
| dc.citation.volume | 48 | - |
| dc.citation.number | 5 | - |
| dc.citation.startPage | 441 | - |
| dc.citation.endPage | 452 | - |
| dc.identifier.kciid | ART002887362 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Design of Experiments | - |
| dc.subject.keywordAuthor | Measurement System | - |
| dc.subject.keywordAuthor | Temperature Chamber | - |
| dc.subject.keywordAuthor | Robust Design | - |
| dc.subject.keywordAuthor | Signal-response System | - |
| dc.subject.keywordAuthor | Response Function Modeling | - |
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