Supervised learning method and quality capability of process used in an optical transmission inspection of on-line nonwoven basis weight

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题名:	Supervised learning method and quality capability of process used in an optical transmission inspection of on-line nonwoven basis weight
作者:	陳奇夆;Huang, Ding-Kuo;Chen, Chi-Feng
贡献者:	工學院機械工程學系
关键词:	Basis weight;Electric potential;Inspection;Learning;Least squares method;Mathematical analysis;Nonwoven material;On-line systems;Piecewise polynomials equation;Quality capability of process;Supervised learning method;Voltage;Weight reduction
日期:	2012-04-15
上传时间:	2026-04-23 15:28:54 (UTC+8)
出版者:	Elsevier;Elsevier B.V
摘要:	摘要： The supervised learning method and quality capability of process used in an on-line optical transmission inspection system of the basis weight for nonwoven material are investigated. A near-infrared light transmission inspection is applied in the production machine of a nonwoven fabric to detect the basis weight and support the producing quality. Using least squares method, the parameter transfer equations of the piecewise ploynomials functions between the measured voltage and the nonwoven basis weight are found. Supervised learning method is adopted to improve the producing capability. It is shown that the capability index of process Cp and Cpk is testing samples when the supervised learning algorithm is used. Obvious, the supervised learning method is effective to improve the producing capability and support the producing quality. 出版者： Elsevier B.V 出版日期： 2012-04-15 出處： Optics communications, 2012-04, Vol.285 (8), p.2106-2112 資源來源： ScienceDirect - Freedom Collection 版權： 2011 Elsevier B.V. 識別號： ISSN: 0030-4018 識別號： EISSN: 1873-0310 識別號： DOI: 10.1016/j.optcom.2011.12.008
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