Accession Number : ADA138373


Title :   Aircraft Maintenance Expert Systems.


Descriptive Note : Master's thesis,


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING


Personal Author(s) : Ferguson,G R


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a138373.pdf


Report Date : Nov 1983


Pagination or Media Count : 106


Abstract : The field of study known as 'artificial intelligence' has gained considerable interest and support within the last few years. Machines are now capable of performing tasks that only humans were thought capable of performing. Machines have been constructed to assist humans in almost every aspect of their daily lives. However, there are some daily activities in which the human must perform manual tasks. One such area is aircraft maintenance. The current manual procedures in this area are very strenuous and time consuming. This text investigates only one feature of those manual procedures, i.e. diagnosis of aircraft malfunctions. This text provides design considerations for implementation of an expert system to assist in the diagnosis of aircraft problems. It illustrates the characteristics required for an automated diagnostic system to assist the average aircraft technician in the performance of his/her duties. The design of a knowledge base and inference procedure for such a system are presented. A working system model was developed on a microcomputer to demonstrate the feasibility for a full scale maintenance expert system.


Descriptors :   *Aircraft maintenance , *Artificial intelligence , *Diagnostic equipment , *Malfunctions , Man computer interface , Man machine systems , Maintenance management , Aviation technicians , Maintenance personnel , Computer aided diagnosis , Systems analysis , Theses


Subject Categories : Aircraft
      Bionics


Distribution Statement : APPROVED FOR PUBLIC RELEASE