A knowledge-based parameter consistency management system for concurrent and collaborative design

被引：1
|
作者：
Wang, Wei-ming [1 ]
Hu, Jie [1 ]
Yin, Ji-long [1 ]
Peng, Ying-hong [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Inst Knowledge Based Engn, Shanghai 200240, Peoples R China
来源：
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE | 2007年 / 221卷 / 01期
关键词：
constraint network; knowledge-level constraints; fuzzy-rough algorithm; case-based reasoning; rule-based reasoning; consistency algorithm; engine;
D O I：
10.1243/09544054JEM450
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper discusses rule-based reasoning parameter consistency management system based on knowledge in concurrent and corroborative product design using a combination of both mathematical methods and knowledge-based Engineering (KBE) techniques. First, the framework of the parameter consistency management system is developed. Second, a data-mining algorithm known as the fuzzy-rough algorithm is presented for modelling of knowledge-level constraints from numerical simulation. Then, the method of integrated case-based reasoning (CBR) and rule-based reasoning (RBR) with an interval consistency algorithm is adopted to predict the potential conflicts and specify the interval of design parameters. Finally, ontology is used as a communication language between cooperating engineering design teams. The system is demonstrated by the design of a crank connecting link in a V6 engine.
引用
收藏
页码：97 / 107
页数：11
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