Knowledge-Based Assistant for Diagnosis in Aircraft Maintenance

摘要

As a result of the demands upon maintenance organizations to increaseavailability 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 (NRL) 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 problems 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 air conditioning 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 formalization of methods for diagnosis.