Accession Number : ADA293962
Title : Artificial Intelligence Techniques for Flight Test Planning. Phase 1.
Descriptive Note : Final rept.
Corporate Author : STOTTLER-HENKE ASSOCIATES BELMONT CA
Personal Author(s) : Stottier, Richard H.
PDF Url : ADA293962
Report Date : 28 MAR 1995
Pagination or Media Count : 52
Abstract : We found that several A1 techniques would be applicable to the development of a system to aid flight test engineers. Flight test engineers reported that test plan and test report creation to be their most time-consuming activities and that they often made informal use of similar plans and reports. Based on the requirements of the flight test engineers. We developed the design for the Automated Flight Test Engineering System (AFTES). To prove its feasibility we implemented and demonstrated critical portions in three Phase 1 prototypes. AFTES is feasible and will benefit the Navy substantially when it is implemented. The three prototypes showed that the most critical aspects could be implemented. Furthermore, the very positive response we received from flight test engineers over both the AFTES designs and the Phase 1 prototypes indicates that AFTES will be utilized when its implemented. Finally, the fact that the productivity of flight test engineers will markedly improve is based on the fact that AFTES was designed with precisely this purpose, along with improving the quality of the plans and reports produced. For example, the test plan produced in a a few minutes by the prototype can take some less-experienced flight test engineers several days to produce.
Descriptors : *FLIGHT TESTING, *ARTIFICIAL INTELLIGENCE, TEST AND EVALUATION, METHODOLOGY, FLIGHT CREWS, REPORTS, PROTOTYPES, TIME, FEASIBILITY STUDIES, RESPONSE, PLANNING, DATA REDUCTION, ENGINEERS, CONSUMPTION, PRODUCTIVITY.
Subject Categories : Aircraft
Distribution Statement : APPROVED FOR PUBLIC RELEASE