@inproceedings{197179d1ddc34069991c7d77a9a21574,
title = "The information-enhanced BIT design of avionics system based on fuzzy neural network",
abstract = "Based on the needs of current avionics system fault diagnosis and health management on engineering project, this paper designed a program for fault diagnosis of typical avionics system module based on artificial intelligence. The basic principle of information-enhanced BIT was discussed. Then a fuzzy nature network designed for fault was built which combined self-adaption function. Beside software and hardware diagnosis overall framework is included. This paper provided a strong support for improving the ability of fault diagnosis of avionics products, reducing false alarms.",
keywords = "Avionics system, BIT(built-in test), Fault diagnosis, Fuzzy nature network",
author = "Yao, \{Guo Ping\} and Hou, \{Wen Kui\} and Long Shi and Shi, \{Jun You\}",
note = "Publisher Copyright: {\textcopyright} 2013 IEEE.; 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 ; Conference date: 20-12-2013 Through 22-12-2013",
year = "2013",
doi = "10.1109/MEC.2013.6885535",
language = "英语",
series = "Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2950--2954",
booktitle = "Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013",
address = "美国",
}