Behavior Knowledge Representation of Mechanical Motion System Based on Affair-element Theory

Zheng Zhen-ting; Yang Chun-yan

doi:10.12052/gdutxb.190113

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Behavior Knowledge Representation of Mechanical Motion System Based on Affair-element Theory

更新时间：2026-05-27

- Behavior Knowledge Representation of Mechanical Motion System Based on Affair-element Theory
- Vol. 36, Issue 6, Pages: 1-8, 23(2019)
- 作者机构：
  
  机电工程学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.190113
  CLC： TP18;TH122
- Online First：28 November 2019，
  
  Published：2019
- 稿件说明：
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郑震霆, 杨春燕. 基于事元理论的机械运动系统行为知识表示研究[J]. 广东工业大学学报, 2019, 36(6): 1-8, 23.

Zheng Zhen-ting, Yang Chun-yan. Behavior Knowledge Representation of Mechanical Motion System Based on Affair-element Theory[J]. 2019, 36(6): 1-8, 23.
郑震霆, 杨春燕. 基于事元理论的机械运动系统行为知识表示研究[J]. 广东工业大学学报, 2019, 36(6): 1-8, 23. DOI： 10.12052/gdutxb.190113.

Zheng Zhen-ting, Yang Chun-yan. Behavior Knowledge Representation of Mechanical Motion System Based on Affair-element Theory[J]. 2019, 36(6): 1-8, 23. DOI： 10.12052/gdutxb.190113.

摘要

机械运动系统的行为

是连接功能与结构的桥梁

对行为知识表示的研究

可以使设计人员获得对设计问题的更深层次理解. 本文针对机械运动系统行为的动态过程

利用可拓学中的事元理论及其知识表示方法

研究机械运动系统行为的知识表示. 基于动态事元模型和拓展规则

对机械运动系统实现功能过程中行为间的因果关系、时序关系、回路关系以及状态关系等知识进行表示

进而对实现机械产品各子功能的行为进行分析

可以为提高机电产品的智能设计水平创造基础条件.

Abstract

The behavior of mechanical motion system is a bridge connecting function and structure. The study of behavior knowledge representation can help designers to gain a deeper understanding of design problems. Aiming at the dynamic process of mechanical motion system behavior

the knowledge representation of mechanical motion system behavior is studied by using affair-element theory and knowledge representation method in Extenics. Based on dynamic affair-element model and extensible rules of mechanical behaviors in the process of the system realization function between the causal relationship

temporal relation

circuit and state relations

the knowledge and the behavior of each function for mechanical products are analyzed

which can create a basis for improving the level of intelligent design of mechanical and electronic products.

关键词

Keywords

references

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Related Institution

School of Electromechanical Engineering, Guangdong University of Technology

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