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Statistical modal analysis for variation characterization and application in manufacturing quality control
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Huang, Wenzhen, Liu, Jinya, Chalivendra, Vijya, Ceglarek, Darek, Kong, Zhenyu and Zhou, Yingqing (2014) Statistical modal analysis for variation characterization and application in manufacturing quality control. IIE Transactions, Volume 46 (Number 5). pp. 497-511. doi:10.1080/0740817X.2013.814928 ISSN 0740-817X.
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Official URL: http://dx.doi.org/10.1080/0740817X.2013.814928
Abstract
A Statistical Modal Analysis (SMA) methodology is developed for geometric variation characterization, modeling, and applications in manufacturing quality monitoring and control. The SMA decomposes a variation (spatial) signal into modes, revealing the fingerprints engraved on the feature in manufacturing with a few truncated modes. A discrete cosine transformation approach is adopted for mode decomposition. Statistical methods are used for model estimation, mode truncation, and determining sample strategy. The emphasis is on implementation and application aspects, including quality monitoring, diagnosis, and process capability study in manufacturing. Case studies are conducted to demonstrate application examples in modeling, diagnosis, and process capability analysis.
Item Type: | Journal Article | ||||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||
Journal or Publication Title: | IIE Transactions | ||||||||||
Publisher: | Taylor & Francis Inc. | ||||||||||
ISSN: | 0740-817X | ||||||||||
Official Date: | 2014 | ||||||||||
Dates: |
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Volume: | Volume 46 | ||||||||||
Number: | Number 5 | ||||||||||
Page Range: | pp. 497-511 | ||||||||||
DOI: | 10.1080/0740817X.2013.814928 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Restricted or Subscription Access |
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