Title :
Design and Implementation of an Embedded Diagnosis System for Radar Built-in Test Equipment
Author :
Zhang Xianzhi ; Sheng Wen
Author_Institution :
Air Force Radar Acad., Wuhan, China
Abstract :
This paper describes a kind of embedded diagnosis expert system for radar built-in test equipment(BITE). Based on gradation diagnosis model and fault separation tree, diagnosis knowledge is represented by integrated framework, and the direct inference, reverse inference and hybrid inference diagnosis strategy are carried out in radar system. Site test results showed that the diagnosis system could improve fault diagnosis accuracy and speed for modern radar fault diagnosis.
Keywords :
built-in self test; embedded systems; fault diagnosis; fault trees; inference mechanisms; radar computing; BITE; direct inference diagnosis; embedded diagnosis system; fault separation tree; gradation diagnosis model; hybrid inference diagnosis; radar built-in test equipment; radar fault diagnosis; reverse inference diagnosis; Databases; Expert systems; Fault diagnosis; Maintenance engineering; Radar equipment; Testing; Built-in Test System; Expert system; Fault diagnosis; Radar;
Conference_Titel :
Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on
Conference_Location :
Huanggang
Print_ISBN :
978-1-4244-8148-4
Electronic_ISBN :
978-0-7695-4196-9
DOI :
10.1109/IPTC.2010.136
