计算机工程与应用Issue(20)：116-119,4.DOI:10.3778/j.issn.1002-8331.1310-0105
基于图论的飞机典型装配工艺数据挖掘方法
Typical aircraft assembly process data mining method based on graph theory
摘要
Abstract
In answering the need of efficiency and intelligentization in aircraft assembly order planning, this paper pre-sents a data mining method for typical aircraft assembly order based on graph theory. The stop words lists and separator arrays are used as constraints to separate the assembly orders. A concept for Assembly Process Feature Vectors(APFVs) is presented to convey the separated assembly orders. The APFVs are mapped to Unidirectional and Sequential Chains (USCs), and an Assembly Process Graph(APG)is constructed based on the USCs. An algorithm for the mining of typical assembly orders is proposed through defining the node support and edge support in the APG. The proposed method is vali-dated by the assembly processed of horizontal tail, and the results suggest its feasibility with different support.关键词
装配工艺特征向量/装配工艺图/频繁装配工艺特征链/典型装配工艺Key words
assembly process feature vector/assembly process graph/frequent assembly process feature chain/typical assembly process分类
信息技术与安全科学引用本文复制引用
张森,余剑峰,俞琳,张杰..基于图论的飞机典型装配工艺数据挖掘方法[J].计算机工程与应用,2015,(20):116-119,4.基金项目
国家科技支撑计划课题（No.2011BAF13B03）；航天技术支撑基金（No.2013-HT-XGD）；国家商用飞机制造工程技术研究中心创新基金（No.SAMC12-15-013）；西北工业大学基础研究基金（No.JC201137）。 （）
