The use of multiple models in evaluating complex engineering designs

Author

Narayanan, Srinivas

Author_Institution

Corp. Technol. Center, FMC Corp., Santa Clara, CA, USA

fYear

1991

fDate

1-2 Apr 1991

Firstpage

225

Lastpage

232

Abstract

The paper establishes a conceptual framework for viewing engineering design as a decomposition of the design problem into multiple models. Also described is a computational framework for iteratively refining designs through analysis and interpretation of candidate solutions. In doing so specific evaluation objectives and design descriptions are mapped to specific evaluation, analysis and interpretation models. Finally, the paper describes an implemented tool which uses the framework for evaluating a class of discrete event systems

Keywords

CAD; cognitive systems; digital simulation; engineering computing; inference mechanisms; knowledge representation; CAD; cognitive systems; complex engineering designs; computational framework; design interpretation; interpretation models; knowledge representation; multiple models; reasoning; Design engineering; Discrete event systems; Observability; Performance evaluation; Predictive models; Problem-solving; Process design; State-space methods; Statistical distributions; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

AI, Simulation and Planning in High Autonomy Systems, 1991. Integrating Qualitative and Quantitative System Knowledge, Proceedings of the Second Annual Conference on

Conference_Location

Cocoa Beach, FL

Print_ISBN

0-8186-2162-1

Type

conf

DOI

10.1109/AIHAS.1991.138475

Filename

138475