The need for automated diagnosis in aerospace systems and the approach of using knowledge-based systems are examined. Research issues in knowledge-based diagnosis which are important for aerospace applications are treated along with a review of recent relevant research developments in Artificial Intelligence. The design and operation of some existing knowledge-based diagnosis systems are described. The systems described and compared include the LES expert system for liquid oxygen loading at NASA Kennedy Space Center, the FAITH diagnosis system developed at the Jet Propulsion Laboratory, the PES procedural expert system developed at SRI International, the CSRL approach developed at Ohio State University, the StarPlan system developed by Ford Aerospace, the IDM integrated diagnostic model, and the DRAPhys diagnostic system developed at NASA Langley Research Center.
Knowledge-Based Diagnosis for Aerospace Systems
1988
32 pages
Report
No indication
English
Knowledge-based diagnosis for aerospace systems
NTRS | 1988
|Knowledge-based diagnosis for aerospace systems
NTRS | 1988
|Model-based fault diagnosis for aerospace systems: a survey
Online Contents | 2012
|Model-based fault diagnosis for aerospace systems: A survey
Tema Archive | 2012
|Advanced fault diagnosis techniques in aerospace systems
Tema Archive | 1989
|