A Processing Route Decision Method for Ring-Frame Parts Based on Improved Bayesian Rough Set

被引:0
作者
Zhang, Yiyao [1 ]
Zheng, Yu [1 ]
Le, Xinyi [1 ]
Mei, Xing [1 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai Key Lab Adv Mfg, Inst Intelligent Mfg & Informat Engn, Sch Mech Engn, Shanghai, Peoples R China
来源
2018 8TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST 2018) | 2018年
基金
中国国家自然科学基金;
关键词
parts process design; process route; Bayesian rough set; attribute reduction;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Processing route design is the key of machining process planning. And the determination of key parameters of machining allowance for parts processing is the core of processing route design. In this paper, according to the characteristics of the typical aerospace structural parts processing route, the problem of processing route design of typical ring-frame parts is transformed into determining the machining allowance sequence of turning and milling. Based on the improved Bayesian rough set, a processing route decision method and procedure of typical structural parts are proposed. At modeling time, the set of feature attributes that affect the process needs to be obtained. On the basis of the set, a conditional attribute reduction method and a matching degree calculation method for multi-classification decision attributes are proposed. Finally, an application case is studied based on the ring-frame parts processing data of the rocket. And the results show that the method is feasible and effective.
引用
收藏
页码:63 / 69
页数:7
相关论文
共 15 条
[1]  
Azrifirwan, 2014, INT C ADV COMP SCI I, P165, DOI 10.1109/ICACSIS.2014.7065882
[2]  
Dai R., 2010, MINING PROCESSING EQ, V38, P38
[3]   Material similarity algorithm for process cases retrieval based on granular computing [J].
Zhou, Danchen .
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2014, 50 (13) :170-177
[4]  
Han Min, 2009, Control and Decision, V24, P1615
[5]  
Jiang Z., 2016, EQUIPMENT MANUFACTUR, P228
[6]  
[刘贵 LIU Gui], 2008, [纺织学报, Journal of Textile Research], V29, P17
[7]   ROUGH SETS [J].
PAWLAK, Z .
INTERNATIONAL JOURNAL OF COMPUTER & INFORMATION SCIENCES, 1982, 11 (05) :341-356
[8]   The investigation of the Bayesian rough set model [J].
Slezak, D ;
Ziarko, W .
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2005, 40 (1-2) :81-91
[9]  
Wang Jun Wang Jun, 2012, Transactions of the Chinese Society of Agricultural Engineering, V28, P19
[10]   CASE-BASED REASONING - A REVIEW [J].
WATSON, I ;
MARIR, F .
KNOWLEDGE ENGINEERING REVIEW, 1994, 9 (04) :327-354