Study on Prediction Method of Quality Uncertainty in the Textile Processing Based on Data

被引：0

作者：

Shao, Jingfeng ^{[1
]}

Wang, Jinfu ^{[1
]}

Bai, Xiaobo ^{[1
]}

Liu, Yong ^{[1
]}

Liu, Congying ^{[2
]}

Ma, Xiaohong ^{[1
]}

机构：

[1] Xian Polytech Univ, Sch Management, Xian 710048, Peoples R China

[2] Xianyang Huarun Text Co Ltd, Dept Power & Energy, Xianyang 712000, Peoples R China

来源：

INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING: BIG DATA AND MACHINE LEARNING TECHNIQUES, ISCIDE 2015, PT II | 2015年 / 9243卷

关键词：

Textile processing; Prediction; Quality; Uncertainty;

D O I：

10.1007/978-3-319-23862-3_11

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To further predict textile quality fluctuation from the perspective of uncertainty factors, first, the reasons and regularities of quality fluctuation in the industrial textile processing were analyzed, and knowledge representation of textile quality attributes was studied. Second, through man-machine-environment system engineering (HMESE) theory, the uncertainty factors that affect textile quality were extracted, and its generation mechanism, interaction relationship and behavioral characteristics was explored. Then, an improved man-machine-environment brittle model oriented to the textile processing was built. As verified by the experiment, the results have shown that the improved brittle model has achieved a full range analysis of quality uncertainty of the textile, which are from the reason and regularity of quality fluctuation to generation mechanism, mutual relations, and behavior identification of the uncertainty factors.

引用

页码：107 / 115

页数：9

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