棉纺织技术2024，Vol.52Issue(6)：22-26,5.
基于关联规则的粗纱工序断头影响因素分析
Influence factor analysis of roving process broken ends based on association rule
摘要
Abstract
In order to reduce the breakage rate of roving during the production process and improve the quality and efficiency of yarn production,the influence factors of roving process broken ends of C 14.6 tex and JC 24.3 tex yarn were collected in production.The influencing factor indicators were clustered by K-means clustering algorithm,Apriori algorithm was used to mine the association rules of the clustered breakage influencing factor indicator datasets.The results showed that the association rule of factors affecting of roving process broken in spinning C 14.6 tex yarn included roving moisture regain and the final doubling wet weight,the roving evenness CV and the final doubling wet weight,the final doubling wet weight and the yarn evenness CV.The association rule of factors affecting of roving process broken in spinning JC 24.3 tex yarn included roving twist coefficient and roving quantitative wet weight,roving twist coefficient,roving evenness CV and roving quantitative wet weight,roving quantitative wet weight and roving twist coefficient.When the influence factors of association rules were increased at the same time,the breakage rate of roving process was increased.The information mined from association rules could help spinning enterprises to reduce broken ends in roving process and improve yarn quality.关键词
粗纱工序/断头影响因素/数据挖掘/K-means聚类/关联规则/Apriori算法Key words
roving process/influence factor of broken end/data mining/K-means clustering/association rule/Apriori algorithm分类
轻工业引用本文复制引用
郑通,薛风洋,张立杰..基于关联规则的粗纱工序断头影响因素分析[J].棉纺织技术,2024,52(6):22-26,5.基金项目
新疆维吾尔自治区科技重大专项(2022A01008-1) （2022A01008-1）
新疆维吾尔自治区自然科学基金(2021D01C053) （2021D01C053）
