DocumentCode :
2653023
Title :
A performance tracking methodology and decision support model
Author :
Hansen, Willard A. ; Fitzgibbon, Kevin T. ; Flann, Nicholas S. ; Kirkland, Larry V.
Author_Institution :
Total Quality Syst. Inc., Ogden, UT, USA
fYear :
2000
fDate :
2000
Firstpage :
256
Lastpage :
262
Abstract :
This paper presents a methodology to detect performance degradation with a certain degree of confidence, and a decision support model to help engineers and technicians to solve ongoing diagnostic and repair problems. The method is capable of detecting changes in performance trends when data captured at different times or ages during the system´s active life, is compared to estimated performance limits. This paper applies the method to the specific case of aircraft avionic systems and their associated support equipment. The methodology is currently being developed and applied to existing aircraft avionic equipment and maintenance processes. The methodology explores the ability of statistical control process (SPC) applications and expert systems (ES) based technologies to develop trend analyses data and provide performance degradation information to maintenance engineers, technicians, and managers. The paper addresses specific data capture and component identification problems encountered in actual test data, anal discusses automated solutions for these problems. A complete architecture is presented displaying the data capture process, data storage, statistical and expert system processing, and output information display. The solution includes the specific technology used to implement the process and output information samples based on actual test data
Keywords :
aerospace expert systems; aircraft maintenance; aircraft testing; automatic testing; data analysis; decision support systems; fault diagnosis; statistical analysis; statistical process control; aircraft avionic equipment; aircraft avionic systems; associated support equipment; component identification; data capture; data storage; decision support model; diagnostic; expert system; expert systems; maintenance engineers; maintenance processes; managers; output information display; performance degradation; performance tracking; repair; statistical control process; statistical processing; technicians; trend analyses data; Aerospace electronics; Aerospace engineering; Aircraft propulsion; Automatic control; Control systems; Data analysis; Degradation; Expert systems; Life estimation; Process control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AUTOTESTCON Proceedings, 2000 IEEE
Conference_Location :
Anaheim, CA
ISSN :
1080-7725
Print_ISBN :
0-7803-5868-6
Type :
conf
DOI :
10.1109/AUTEST.2000.885601
Filename :
885601
Link To Document :
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