现代电子技术2012，Vol.35Issue(19)：131-134,4.
BP神经网络在设备故障诊断方面的应用
Application of BP neural network in fault diagnosis of radar device
魏江涛 1陈方涛 1姜美雷1
作者信息
- 1. 中国卫星海上测控部,江苏江阴214431
- 折叠
摘要
Abstract
As electronic equipment systems become more and more complex, how to carry on the fast and efficient fault diagnosis and how to keep them in good working state have important significance. In the light of limitation of the traditional diagnosis technology, the paper studied trie fault diagnosis based on BP neural network method and developed a fault diagnosis software using the MATLAB and VC+ + mixed programming environment. Taking some components of a radar system as an example, the paper verified the correctness and the reliability of fault diagnosis function of the software. After the fault information was input into the trained neural network, the fault type can be estimated and the accurate position of the fault module can be located according to the output results. It proves that the software improves the efficiency of fault diagnosis and has an application value.关键词
BP神经网络/故障诊断/Matlab引擎/VC++Key words
BP neural network/ fault diagnosis/ Matlab engine/ VC+ +分类
信息技术与安全科学引用本文复制引用
魏江涛,陈方涛,姜美雷..BP神经网络在设备故障诊断方面的应用[J].现代电子技术,2012,35(19):131-134,4.
