以中紅外線檢測與監督式學習法應用於單色紡織品塗佈量技術之研究

A Study of Mid-near Optical Uniformity Monitoring and Supervised Learning Method of in Used Coating Weights Fabrics

黃定國(D. K. Huang)

《紡織綜合研究期刊》 31卷4期 (2021/10) Pp. 62-70

https://doi.org/10.6439/TTRJ.202110_31(4).0010

摘要

本文研究利用監督式學習法應用於穿透式中紅外線均勻度檢測基重系統用於塗佈整理紡織產業範疇，並提升為思考品質分析系統。以塗佈整理流程製造，其即時區域掃描結果顯示基重與已知值相符，經使用已知基重之標準，接著，找到可靠有效的電壓值與基重之參數轉換關係式得到最小平方法，再利用校正模式的監督式學習最小平方法，我們評估校正檢測基重誤差低於2%以下，提供正確與有效的驗證資訊，推廣業界。

關鍵字

中紅外線檢測 ； 塗佈量紡織品 ； 監督式學習

並列摘要

The supervised learning method used in an on-line optical transmission mid-near inspection of the coating weight of basis weight fabrics for a textile finishing are investigated. The real-time scanning width supervised learning method and area-based strategy for determining based of process quality of textile finishing manufacturing. The modified supervised learning for least-squares method is used to obtain the suitable parameter transformation between the measured voltage and the nonwoven fabrics basis weight. The supervised learning least-squares method obtained as the parameter transfer equation. We consider textile finishing basis-weight inspection error amount is less than 2%. Can provide more accurate and effective basis weight verification information and to practitioners for their factory applications.

並列關鍵字

Mid-near optical ； coating weight fabrics ； supervised learning algorithm