[1]周丽春,罗孝雯,金福江.针织物热定型质量因素的团树传播[J].华侨大学学报(自然科学版),2019,40(1):106-112.[doi:10.11830/ISSN.1000-5013.201707037]
　ZHOU Lichun,LUO Xiaowen,JIN Fujiang.Clique Tree Propagation for Heat Setting Quality Factor of Fabric[J].Journal of Huaqiao University(Natural Science),2019,40(1):106-112.[doi:10.11830/ISSN.1000-5013.201707037]
点击复制

针织物热定型质量因素的团树传播()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第40卷
期数:
2019年第1期
页码:
106-112
栏目:
出版日期:
2019-01-20

文章信息/Info

Title:
Clique Tree Propagation for Heat Setting Quality Factor of Fabric
文章编号:
1000-5013(2019)01-0106-07
作者:
周丽春;  罗孝雯;  金福江
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
ZHOU Lichun;  LUO Xiaowen;  JIN Fujiang
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
热定型;  贝叶斯网络;  团树传播算法;  质量因素分析
Keywords:
heat setting;  Bayesian networks;  clique tree propagation algorithm;  quality factors analysis
分类号:
TS195.9
DOI:
10.11830/ISSN.1000-5013.201707037
文献标志码:
A
摘要:
首先,通过研究针织物热定型过程的生产流程、机械构造,采集生产过程质量数据、工艺数据和设备状态,并分析质量数据异常的原因.然后,通过相关分析确定对热定型克质量有影响的各环节及其对应变量,建立质量因素分析拓扑结构.最后,将各变量纳入具有因果关联的网络结构中,采用基于团树传播算法的贝叶斯推理规则,利用团树间的信息传递计算出各变量对克质量的影响程度.结合某企业实例进行分析,结果表明:文中方法可实现热定型质量指标影响因素的精确定量分析.
Abstract:
Firstly, the production process and mechanical structure of the fabric heat setting are researched. The reason of the abnormal quality data are analyzed through the acquired production process quality data, process data and the equipment state. Then, through the correlation analysis, each link and its corresponding variables which have influence on the quality of the heat setting gram are determined and the topology frame of the quality analysis system is established. Lastly, the variables are put into the network structure with causal correlation and the influence degrees of each variable on the gram by information transmission between clique trees is calculated by using the Bayesian inference rules based on Clique tree propagation algorithm. Combining with example from the company to analyze, the results show that the proposed method can realize precise quantitative analysis of influencing factors of heat setting quality indicators.

参考文献/References:

[1] 罗国英,林修齐.2000版ISO 9000族标准质量管理体系教程[M].北京:中国经济出版社,2003.
[2] 周静.印染生产过程质量分析与预测系统研究[D].厦门:华侨大学,2008.
[3] 顾宇峰.染整生产过程质量控制关键技术研究与应用[D].厦门:华侨大学,2010.
[4] 徐兰,苏翔.基于贝叶斯网络的复杂质量结构产品系统关键质量要素识别方法[J].江苏科技大学学报(自然科学版),2015,29(2):193-198.DOI:10.3969/j.issn.1673-4807.2015.02.017.
[5] 任佳,苏宏业.印染热定型机煤、电能耗建模及优化求解研究[J].仪器仪表学报,2013,34(3):582-587.DOI:10.3969/j.issn.0254-3087.2013.03.015.
[6] 赵迪.染整热定型工艺模型及数字化设计系统研究[D].厦门:华侨大学,2015.
[7] MOTOMURA Y.Bayesian network softwares(Bayesian network)[J].Journal of Japanese Society for Artificial Intelligence,2002,17(5):559-565.
[8] 王双成.贝叶斯网络学习、推理与应用[M].1版.上海:立信会计出版社,2010.
[9] WANG Fei,LIU Dayou,XUE Wanxin.Discretizing continuous variables of Bayesian networks based on genetic algorithms[J].Chinese Journal of Computers,2002,25(8):794-800.
[10] 张慧永.基于贝叶斯网络的交通事故态势研究[D].吉林:吉林大学,2013.
[11] 张连文,郭海鹏.贝叶斯网引论[M].北京:科学出版社,2006.
[12] BENSI M,KIUREGHIAN A D,STRAUB D.Efficient Bayesian network modeling of systems[J].Reliability Engineering and System Safety,2013,112(2):200-213.DOI:10.1016/j.ress.2012.11.017.
[13] POOLSAPPASIT N,DEWRI R,RAY I.Dynamic security risk management using Bayesian attack graphs[J].IEEE Transactions on Dependable and Secure Computing,2011,9(1):61-74.DOI:10.1109/TDSC.2011.34.
[14] 李志瑶,宗芳.贝叶斯网络推理分析的团树传播算法: 以停车行为分析为例[J].长春大学学报,2012,22(5):506-507.
[15] HOTA P K.Security constrained economic environmental dispatch through fuzzy based gravitational search algorithm[J].Procedia Technology,2015,6(4):411-419.DOI:10.12691/ajeee-3-2-4.

备注/Memo

备注/Memo:
收稿日期: 2017-07-14
通信作者: 周丽春(1978-),女,讲师,博士,主要从事染整复杂系统建模与控制的研究.E-mail:zhoumi@hqu.edu.cn.
基金项目: 福建省科技厅产学研重大项目(2016H6015); 福建省科技计划引导性项目(2017H0022)
更新日期/Last Update: 2019-01-20