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Research on fault tolerance based on neural networks

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3 Author(s)
Kang Rongxue ; Dept. of Automotive Eng., Tsinghua Univ., Beijing, China ; Song Jian ; Zhang Youyun

An architecture of fault tolerance based on multi-layer feedforward neural networks is presented in this paper. An algorithm for the fault-tolerance analysis in fault detection is presented based on building a stochastic fault model for feedforward neural networks and analyzing the features fault propagation. A controller for fault-tolerance is designed by controller reconfiguration. Satisfactory simulation results show that this architecture of redundancy has a much higher reliability.

Published in:

Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on  (Volume:3 )

Date of Conference:

31 Aug.-4 Sept. 2004