Intelligent Embedded Diagnostic System for Future Avionic Systems

"This proposal describes diagnostic reasoning approaches applicable to a variety of domains, specifically the design and development of an Intelligent Embedded Diagnostic System for Avionics. The need for this development is growing as compromises inalgorithm and modeling paradigm complexity abound due to computational throughput and state-space explosion constraints. The algorithms proposed for development are highly scaleable and enable analyzing of the properties of the complex, dynamic systems.The proposed work includes developing diagnostic models to define outputs in a variety of system states. These outputs will be used in the final version: an object-oriented model with advanced fault trees and enhanced diagnostic inference. In addition, theproposed IEDSA will provide architectures for standardizing the information exchange between embedded diagnostic systems, automated test systems, and test services of reasoning systems. It will also provide guidance for test strategy services supportingthe avionics infrastructure. And finally, this proposal addresses specific issues to consider during the analysis of aircraft data, specifically the identification in databases approach that will be developed to discover hidden information from this data.The ideal result will be clear, concise, complete descriptions of fault events, which unambiguously associate symptoms with appropriate repair actions from historical maintenance events. WPI