Abstract
Aiming at the requirements of high reliability and high real time for aerospace measurement and control systems, a solution based on Compact PCI (CPCI) bus for hot-redundancy of hardware structure is proposed. And an advanced fault diagnosis method for checking the faults of cards based on the probabilistic neural networks (PNN) is used in this system. A set of hot-redundancy experimental system platforms are developed to perform experimental verification on device-level hot-redundancy technology. Simulation and experiment results show that the system can realize hot-redundancy.
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© 2016 Springer International Publishing Switzerland
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Li, D., Hu, X., Zhang, G., Duan, H. (2016). Hot-Redundancy CPCI Measurement and Control System Based on Probabilistic Neural Networks. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_41
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DOI: https://doi.org/10.1007/978-3-319-40663-3_41
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