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Statistical Process Control of Stochastic Textured Surfaces
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Statistical Process Control of Stochastic Textured Surfaces. |
| 개인저자 | Bui, Anh Tuan. |
| 단체저자명 | Northwestern University. Industrial Engineering and Management Sciences. |
| 발행사항 | [S.l.]: Northwestern University., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 116 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-05B. Dissertation Abstract International |
| ISBN | 9781088352168 |
| 학위논문주기 | Thesis (Ph.D.)--Northwestern University, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
Advisor: Apley, Daniel W. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | This dissertation develops a new framework and algorithms for statistical process control of stochastic textured surface data that have no distinct features other than stochastic characteristics that vary randomly (e.g., image data of textiles or material microstructures and surface metrology data of metal parts). All methods are general and nonparametric in that they require no prior knowledge of the types of abnormalities that might occur nor the extraction of specific predefined features. The methods are applicable to a wide range of materials and address unsolved problems regarding monitoring and diagnosing quality-related issues that can lead to early damage, reduced lifetime, or compromised aesthetics of the manufactured materials. Specifically, the first problem is detecting defects on the surfaces (e.g., microstructure porosities) |
| 일반주제명 | Industrial engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
