Integrated Diagnostic System (IDS) for Aircraft Fleet Maintenance

Michael Lehane, Francois Dube, Michael Halasz, Robert Orchard, Rob Wylie, and Marvin Zalusk

The aim of the Integrated Diagnostic System (IDS) project is to research, develop and test advanced diagnostic and decision support tools for maintenance of complex machinery. This paper provides an overview of the hybrid reasoning conducted within this system with particular reference to Case-Based Reasoning (CBR) and its integration in this environment. The technical development of this system is outlined as well as an operational review of the fielded prototype. Furthermore, the development of a distributed, generic architecture for this system to aid its potential widespread implementation is introduced.


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