DocumentCode :
3510186
Title :
Fault Diagnosis Technology for NAMP Based on BP Neural Network
Author :
Jian-guo Nan ; Rong Fan ; Chuang Guo
fYear :
2008
fDate :
1-3 Nov. 2008
Firstpage :
56
Lastpage :
59
Abstract :
In allusion to the insufficiency of the Built-in-test-equipment (BITE) of NAMP and the ground fault diagnosis equipment, the fault diagnosis theory and methods for a certain type NAMP based on BP neural network are investigated, and the fault diagnosis example is provided with the typical test item. The technology simplifies the structure of the fault diagnosis system, and has a farther effective distinguish from the source of fault diagnosed by BITE, and isolates the fault from the LRU level to the SRU level.
Keywords :
backpropagation; built-in self test; fault diagnosis; military aircraft; neural nets; BP neural network; NAMP; built-in-test-equipment; fault diagnosis technology; nonavionics monitoring processor; Arithmetic; Artificial neural networks; Fault diagnosis; Intelligent networks; Intelligent structures; Intelligent systems; Isolation technology; Neural networks; Software testing; System testing; BITE; NAMP; SRU;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3391-9
Electronic_ISBN :
978-0-7695-3391-9
Type :
conf
DOI :
10.1109/ICINIS.2008.55
Filename :
4683167
Link To Document :
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