Title :
Research on Embedded Airborne Electronic Equipment Fault Diagnosis Expert System
Author :
Chen Jingjie ; Chen Xiaxia
Author_Institution :
Aviation Autom. Inst., Civil Aviation Univ. of China, Tianjin, China
Abstract :
The traditional airborne electronic equipment fault diagnosis systems have the disadvantage that the dynamic processing ability is low. The weakness of low effectiveness and accuracy is gradually exposed for it highly depends on the sample set and inherent module. The embedded airborne electronic fault diagnosis system built in this paper executes the dynamic processing by the subsystems, then summaries the information and makes the integrated diagnosis by the expert system which is embedded in the Flash in the microprocessor, realizes the real-time ability. The forward extract rule based on RETE algorithm is adopted in the expert system inference engine, which avoids the repeated match, reduces the time-complexity, and improves the efficiency.
Keywords :
avionics; computational complexity; embedded systems; fault diagnosis; microprocessor chips; RETE algorithm; dynamic processing ability; embedded airborne electronic equipment; embedded airborne electronic fault diagnosis system; expert system inference engine; fault diagnosis expert system; integrated diagnosis; microprocessor; time complexity; Aerospace electronics; Databases; Electronic equipment; Engines; Expert systems; Fault diagnosis;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5677724