A Novel Concept to Predict Cotton Yarns’ Coefficient of Variation and Hairiness Index by Online Collected Data During Winding Process

A Novel Concept to Predict Cotton Yarns’ Coefficient of Variation and Hairiness Index by Online Collected Data During Winding Process

Coefficient of variation (CV value) and hairiness value are important parameters used to assess cotton yarn quality. In order to accurately monitor yarn quality during production, we use online yarn quality detection as the input data of artificial neural network (ANN) and multiple regression (MLR)...

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Bibliographic Details
Main Authors: Xu Duo, Liu Yingcun, Chong Gao, Ziyi Su, Keshuai Liu, Jian Fang, Weilin Xu
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Journal of Natural Fibers
Subjects:
artificial neural network
multiple linear regression
online detection
predictive performance
yarn properties
Online Access:http://dx.doi.org/10.1080/15440478.2022.2131025

Internet

http://dx.doi.org/10.1080/15440478.2022.2131025

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