Modeling cognitive network of a physical system using design knowledge base
Modeling cognitive network of a physical system using design knowledge base
复制标题
使用设计知识库对物理系统的认知网络进行建模
DOI：
10.1109/ieem.2014.7058636
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Bimal P. Nepal
中科院分区：
文献类型：
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作者：
Shah M. Limon;O. Yadav;Bimal P. Nepal
在这项工作中，提出了一个框架来半自动化地开发复杂工程系统的认知网络图。认知网络的每个节点代表设计参数、环境因素和质量特征，而每个弧代表两个节点之间的因果关系。该框架旨在利用现有的知识库（例如 CAD 数据库、专家输入和其他信息源）来生成网络图。除了这些信息源之外，该框架还从 CAD 系统中提取几何结构、功能关系和其他工程输入，将复杂的物理系统建模为认知网络图。认知网络图开发的半自动化将有助于减少手动开发网络图的繁琐任务。开发认知网络模型的目的是模拟复杂物理系统的行为并生成故障知识。该框架通过燃油喷嘴的案例研究进行了演示。
In this work, a framework is presented to semi-automate the development of a cognitive network diagram for complex engineering systems. Each node of a cognitive network represents design parameters, environmental factors, and quality characteristics whereas each arc represents causal relationship between two nodes. The framework is proposed to utilize the existing knowledge base, such as, CAD database, expert inputs, and other sources of information to generate the network diagram. Along with these sources of information, the framework also extracts geometric structure, functional relations, and other engineering inputs from CAD system to model the complex physical system into the cognitive network diagram. Semi-automation of the development of a cognitive network diagram will help to reduce the tedious task of manually developing network diagrams. The purpose of developing the cognitive network model is to simulate the behavior of complex physical systems and generate the failure knowledge. The framework is demonstrated by a case study of fuel injection nozzle.