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Sensor-Based Modeling and Analysis of Advanced Manufacturing Systems for Quality Improvements
Sensor-Based Modeling and Analysis of Advanced Manufacturing Systems for Quality Improvements
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210094725
- ISBN
- 9798535592510
- DDC
- 658
- 저자명
- Imani, Farhad.
- 서명/저자
- Sensor-Based Modeling and Analysis of Advanced Manufacturing Systems for Quality Improvements
- 발행사항
- [Sl] : The Pennsylvania State University, 2020
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2020
- 형태사항
- 162 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- 주기사항
- Advisor: Yang, Hui.
- 학위논문주기
- Thesis (Ph.D.)--The Pennsylvania State University, 2020.
- 일반주제명
- Industrial engineering
- 일반주제명
- Artificial intelligence
- 일반주제명
- Mechanical engineering
- 일반주제명
- Laboratories
- 일반주제명
- Standard deviation
- 일반주제명
- Simulation
- 일반주제명
- Research methodology
- 일반주제명
- Manufacturing
- 일반주제명
- Deep learning
- 일반주제명
- Titanium alloys
- 일반주제명
- Fractals
- 일반주제명
- Geometry
- 일반주제명
- Case studies
- 키워드
- Porosity
- 키워드
- Lacunarity
- 키워드
- Neural networks
- 기본자료저록
- Dissertations Abstracts International. 83-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2020 us c eng d■001000016055253
■00520220210094725
■020 ▼a9798535592510
■035 ▼a(MiAaPQ)AAI28778408
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a658
■1001 ▼aImani, Farhad.
■24510▼aSensor-Based Modeling and Analysis of Advanced Manufacturing Systems for Quality Improvements
■260 ▼a[Sl]▼bThe Pennsylvania State University▼c2020
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2020
■300 ▼a162 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Yang, Hui.
■5021 ▼aThesis (Ph.D.)--The Pennsylvania State University, 2020.
■590 ▼aSchool code: 0176.
■650 4▼aIndustrial engineering
■650 4▼aArtificial intelligence
■650 4▼aMechanical engineering
■650 4▼aLaboratories
■650 4▼aStandard deviation
■650 4▼aSimulation
■650 4▼aResearch methodology
■650 4▼aManufacturing
■650 4▼aDeep learning
■650 4▼aTitanium alloys
■650 4▼aFractals
■650 4▼aGeometry
■650 4▼aCase studies
■653 ▼aAdditive manufacturing
■653 ▼aPorosity
■653 ▼aMultifractional analysis
■653 ▼aLacunarity
■653 ▼aNonlinear pattern characterization
■653 ▼aImage-guided variant geometry analysis
■653 ▼aLayerwise build quality
■653 ▼aQuality monitoring
■653 ▼aHigh dimensional spatiotemporal data
■653 ▼aPatterns of image data
■653 ▼aNeural networks
■690 ▼a0800
■690 ▼a0548
■690 ▼a0546
■71020▼aThe Pennsylvania State University.
■7730 ▼tDissertations Abstracts International▼g83-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0176
■791 ▼aPh.D.
■792 ▼a2020
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16055253▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
