舒克哈特卡片法在分散组分粉活性混凝土质量控制中的应用

Q4 Engineering
Sergey G. Fedosin, A. Kuzenkov, Sergey Moiseev, I. Maksimova, I. Erofeeva, Ya.A. Sanyagina
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引用次数: 0

摘要

在建筑行业中,水泥混凝土是应用最广泛的建筑材料。具有更高强度和耐久性的新一代材料用于关键设施的建设。对这种混凝土有特殊要求以保证其质量。考虑了新一代粉末活化混凝土在其组成成分制备阶段的控制和质量问题。本文对已开发的基于休哈特控制图的质量控制系统的分类数据进行了分析。为了实现对关键情况的有效分类,我们证明了支持向量的目标一致性应用。积累了水泥生产过程超出控制范围的特殊情况下可能解决方案的基础。对于支持向量的亲编程实现,我们使用了库应用LIBSVM。我们描述了为SVM训练模型准备累积数据的过程。我们确定了最优的模型核参数,以确保准确的分类。我们为所有监测参数创建了SVM模型。我们创造了有效的人机界面显示解决方案,以防止操作员出现紧急情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QUALITY CONTROL OF DISPERSED COMPONENTS POWDER-ACTIVATED CONCRETE WITH THE HELP OF SHUKHART'S CARDS
In the construction industry, cement concretes are the most widely used building material. New generation materials with increased strength and durability are used in the construction of critical facilities. Special requirements are imposed on such concretes to ensure their quality. The issues of control and quality of powder-activated concretes of a new generation at the stage of preparation of their constituent components are considered. Author made in the article the analysis of the classifier data for the developed system of quality control (QC) based on Shewhart control charts. For implement an effective classification of critical situations we justified target-conformity application of support vector. We accumulated the base of possible solutions in special cases when process of cement production go out from control limits. For pro-programmatic implementation of support vector we used library application LIBSVM. We described procedures for the preparation of the accumulated data for training models of SVM. We determined optimal parameters of created models nuclei to ensure accurate classification. We created SVM models for all monitored parameters. We created HMI display effective solutions to prevent critical situations for the operator.
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
43
审稿时长
4 weeks
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