Title :
Research on analog circuit fault diagnosis of MFCS based on BP neural network information fusion technology
Author :
Zhou Li-jun ; Zhang Jie ; Zhao Yuan
Author_Institution :
Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
In this paper,we researched on the technology of fault diagnosis based on BP network information fusion,and applied the information fusion technology to the diagnosis of some MFCS´s comparative amplifier board. We further studied on the improvement of BP network information fusion, and acquired perfect result. The research indicates that the method can resolve the problem of uncertainty fault in analogous circuit board.
Keywords :
amplifiers; backpropagation; circuit reliability; control engineering computing; fault diagnosis; missile control; neural nets; sensor fusion; BP neural network; MFCS comparative amplifier board; analog circuit fault diagnosis; analogous circuit board; backpropagation; information fusion technology; missile fire control system; Biological neural networks; Circuit faults; Fault diagnosis; Printed circuits; Training; Vectors; BP neural network; analogous circuit; fault diagnosis; information fusion;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885116
