Reusing design information for model-based diagnosis

Dick C. van Soest; R. R. Bakker; N. J. I. Mars

doi:10.1117/12.141737

23 March 1993 Reusing design information for model-based diagnosis

Dick C. van Soest, R. R. Bakker, N. J. I. Mars

Proceedings Volume 1963, Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry; (1993) https://doi.org/10.1117/12.141737
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Model-based diagnosis (MBD) is a technique to locate faults in a system with the aid of a model of that system. The model describes the correct behavior of the system, and possibly also the behavior in case of a fault. In the field of model-based diagnosis, most attention has been given to the problem of reasoning: how to derive diagnoses, given a model. When applying MBD in practice, modeling appears to be a problem of equal magnitude. In this paper, we analyze the modeling process, and show how design information can be used in this process. We investigated the use of information in two standard languages for information interchange: EDIF and VHDL. We expect that the results from this research carry over to other design formats.

Citation Download Citation

Dick C. van Soest, R. R. Bakker, and N. J. I. Mars "Reusing design information for model-based diagnosis", Proc. SPIE 1963, Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry, (23 March 1993); https://doi.org/10.1117/12.141737

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available