飞机装配过程质量数据深度分析与控制

发布时间：2018-01-03 13:32

本文关键词：飞机装配过程质量数据深度分析与控制　出处：《沈阳航空航天大学》2016年硕士论文　论文类型：学位论文

【摘要】：质量在飞机生产管理中起着至关重要的作用,飞机装配作为飞机制造中的关键环节,飞机装配质量在很大程度上决定了飞机生产质量水平以及企业生产效率。随着飞机数字化装配技术和先进仪器设备在飞机数字化装配实际生产中的推广应用,航空企业已经积累了大量的装配质量数据。因此,对飞机装配质量数据深度分析和质量控制技术进行研究具有理论价值和实践意义。本文依托沈阳航空航天大学承担的航空企业某数字化生产线项目,对课题中的飞机装配质量数据深度分析和质量控制关键技术进行研究。本文主要内容有:首先对飞机装配质量数据特征进行分析,对质量数据进行标准化处理,建立以质量数据关系模型和质量数据仓库模型共同组成的质量数据模型体系,最后提出一种基于装配质量数据模型的数据挖掘机制。其次对飞机装配质量数据采集内容和方法进行分析,基于数据ETL技术和SQL Server提出一种数据集成管理总体设计方案,解决了多源异构数据的集成问题。然后采用聚类分析和关联规则分析对装配质量数据进行数据深度分析。首先对聚类的基本算法等内容进行研究,采用聚类分析选择飞机装配质量的关键特征。其次对关联规则进行研究,提出基于关联规则算法对质量关键特征关系进行挖掘,找寻各类数据与质量之间的某种潜在有价值的联系,并进行实例验证该方法的可行性。最后对装配质量统计过程技术进行研究。分析基于SPC技术进行质量控制的基本原理,对质量数据的波动规律性和数据度量进行研究。根据统计控制理论提出基于飞机装配质量关键特性分析方法,针对飞机小批量生产特点提出基于单值—移动极差控制图和组合相似质量特性数据构造大样本方法进行统计控制,对飞机装配过程能力分析和统计控制图判断异常的几个准则进行研究,结合沈飞民机某机型进行验证性分析,证明该方法的可行性。
[Abstract]:Quality plays an important role in aircraft production and management. Aircraft assembly is a key link in aircraft manufacturing. Aircraft assembly quality to a large extent determines the level of aircraft production quality and production efficiency. With the aircraft digital assembly technology and advanced equipment in the actual production of aircraft digital assembly application. Aviation enterprises have accumulated a lot of assembly quality data. It is of theoretical value and practical significance to study the depth analysis and quality control technology of aircraft assembly quality data. This paper relies on a digital production line project of aviation enterprise undertaken by Shenyang University of Aeronautics and Astronautics (Shenyang University of Aeronautics and Astronautics). The key technologies of aircraft assembly quality data depth analysis and quality control are studied in this paper. The main contents of this paper are as follows: firstly, the characteristics of aircraft assembly quality data are analyzed, and the quality data are standardized. A quality data model system composed of quality data relation model and quality data warehouse model is established. Finally, a data mining mechanism based on assembly quality data model is proposed. Secondly, the contents and methods of aircraft assembly quality data collection are analyzed. Based on data ETL technology and SQL Server, an overall design scheme of data integration management is proposed. The integration problem of multi-source heterogeneous data is solved. Then the data depth analysis of assembly quality data is carried out by cluster analysis and association rule analysis. Firstly, the basic algorithm of clustering is studied. Cluster analysis is used to select the key features of aircraft assembly quality. Secondly, the association rules are studied, and the association rule algorithm is proposed to mine the key feature relationship of the quality. Look for some potentially valuable link between data and quality. Finally, the statistical process technology of assembly quality is studied. The basic principle of quality control based on SPC technology is analyzed. The fluctuation regularity and data measurement of quality data are studied. Based on the statistical control theory, an analysis method based on the key characteristics of aircraft assembly quality is proposed. According to the characteristics of aircraft small batch production, a statistical control method based on single value moving range control chart and combined similar mass characteristic data is proposed to construct large samples. This paper studies several criteria for analyzing the capability of aircraft assembly process and judging abnormal statistical control charts, and verifies the feasibility of this method by combining with a certain aircraft model of Shenfei civil aircraft.
【学位授予单位】：沈阳航空航天大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：V262.4

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