DocumentCode :
559843
Title :
The Improved Research of Fault Diagnosis Algorithm in Intelligent BIT Design
Author :
Zhang, Peng ; Chen, Yuntao ; Ding, Youhua
Author_Institution :
Dept. of Radar, Wuhan Ordnance Non-commissioned Officer Acad. of PLA, Wuhan, China
Volume :
1
fYear :
2011
fDate :
24-25 Sept. 2011
Firstpage :
3
Lastpage :
6
Abstract :
This paper expatiates the realization procession and key technology of neural network in fault diagnosis platform in detail, which combined with the realization of fault diagnosis platform based on neural network. Then we have carried on amiss control coding of the output cells in the deferent communication. So we have carried out mapping class once more of type and type of coding and carried out mapping class in reverse during the period of decoding. Using the theory and realization of intelligent BIT, we have gotten the development trend of fault diagnosis system, the use of neural network in intelligent BIT and the idiographic configuration of neural network in intelligent BIT, under the environment of hardware and software platform.
Keywords :
built-in self test; decoding; fault diagnosis; neural nets; amiss control coding; decoding; fault diagnosis algorithm; hardware platform; idiographic configuration; intelligent BIT design; neural network; software platform; Approximation algorithms; Artificial intelligence; Classification algorithms; Cyclic redundancy check codes; Encoding; Fault diagnosis; Polynomials; algorithm; fault diagnosis; intelligent;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-1419-1
Type :
conf
DOI :
10.1109/ICM.2011.225
Filename :
6113341
Link To Document :
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