多学科信号系统的功能表示与智能综合方法

上海交通大学学报（自然版） ›› 2014, Vol. 48 ›› Issue (08): 1142-1148.

多学科信号系统的功能表示与智能综合方法

胡陈强,陈泳,刘泽林

(上海交通大学机械与动力工程学院, 上海 200240)

收稿日期:2013-10-10 出版日期:2014-08-28 发布日期:2014-08-28
基金资助:
国家自然科学基金资助项目(50175173)，国家高技术研究发展计划（863）项目（2008AA04Z108）

Functional Representation and Intelligent Synthesis Approach of Multi-Disciplinary Signal Systems

HU Chenqiang,CHEN Yong,LIU Zelin

(School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)

Received:2013-10-10 Online:2014-08-28 Published:2014-08-28

摘要/Abstract

摘要：

提出了一种基于信号转换原理解知识智能综合的多学科信号系统概念设计方法.该方法以结构化的多学科信号转换原理解的功能知识表示模型为基础，借助“感知选择作用”的原理解综合求解方法来实现多学科原理解的概念设计.初步建立了多学科信号转换原理解知识库，开发了相应的计算机辅助多学科信号转换概念设计原型系统，并进行了应用验证.

关键词: 概念设计, 多学科系统, 功能表示, 原理解

Abstract:

Multi-disciplinary signal systems involve the signal-transforming components in various disciplines. Creative conceptual design of these systems poses great challenge to designers who have usually been taught with the knowledge in very limited disciplines. This paper proposed a conceptual design approach for multi-disciplinary signal systems by intelligently synthesizing signal-transforming knowledge of multi-disciplinary principle solutions. It consisted of a functional knowledge representation model, which can formally represent the signal-transformation knowledge of various multidisciplinary principle solutions, and a sense-selection-action based approach for achieving the synthesis of multi-disciplinary principle solutions. Besudes, a prototype system for achieving computer-aided multi-disciplinary signal transformation conceptual design was developed, with a knowledge base about various signal-transforming principle solutions. In addition, an example was used to illustrate the proposed approach.

Key words: conceptual design, multi-disciplinary systems, functional representation, principle solution

中图分类号:

TH 122

胡陈强,陈泳,刘泽林. 多学科信号系统的功能表示与智能综合方法[J]. 上海交通大学学报（自然版）, 2014, 48(08): 1142-1148.

HU Chenqiang,CHEN Yong,LIU Zelin. Functional Representation and Intelligent Synthesis Approach of Multi-Disciplinary Signal Systems[J]. Journal of Shanghai Jiaotong University, 2014, 48(08): 1142-1148.

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