@inproceedings{e9582882ef4d4aecae385d73a53851ab,
title = "Hot-redundancy CPCI measurement and control system based on probabilistic neural networks",
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.",
keywords = "Compact PCI bus, Fault diagnosis, Hot-redundancy, Hot-swap, Probabilistic neural networks",
author = "Dan Li and Xiaoguang Hu and Guofeng Zhang and Haibin Duan",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 13th International Symposium on Neural Networks, ISNN 2016 ; Conference date: 06-07-2016 Through 08-07-2016",
year = "2016",
doi = "10.1007/978-3-319-40663-3\_41",
language = "英语",
isbn = "9783319406626",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "356--364",
editor = "Long Cheng and Qingshan Liu and Andrey Ronzhin",
booktitle = "Advances in Neural Networks - 13th International Symposium on Neural Networks, ISNN 2016, Proceedings",
address = "德国",
}