A Knowledge-Based Assistant for Diagnosis in Aircraft Maintenance,
NATIONAL AEROSPACE LAB AMSTERDAM (NETHERLANDS)
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As a result of the demands upon maintenance organisations to increase availability of aircraft and the increasing complexity of aircraft systems, a need for tools and facilities to enhance the effectivity and efficiency of maintenance emerges. The National Aerospace Laboratory NLR performs applied research with concern to the use of knowledge based systems for condition monitoring and diagnosis in complex technical systems. This paper describes a feasibility study KADAM on the application of knowledge based systems for diagnosis of complaints in aircraft systems. The specific application selected for the KADAM project Knowledge-based Assistant for Diagnosis in Aircraft Maintenance is a knowledge based system to be used by ground engineers for troubleshooting of an aircraft airconditioning system. This paper will address the approach taken in the project and review the results, including the design of the proof-of-concept system. Particular attention will be paid to the identification and formalisation of methods for diagnosis.
- Computer Systems