| 基于旋转机械故障诊断模糊神经网络多传感器融合(英文) |
| |
| 引用本文： | 周洁敏,林刚,宫淑丽,陶云刚.基于旋转机械故障诊断模糊神经网络多传感器融合(英文)[J].南京航空航天大学学报(英文版),2001,18(1). |
| |
| 作者姓名： | 周洁敏 林刚 宫淑丽 陶云刚 |
| |
| 作者单位： | 南京航空航天大学民航学院 |
| |
| 基金项目： | 国防科研基金，NSFC基金和优秀教师基金资助项目~~ |
| |
| 摘 要： | 目前多传感器融合技术能够有效地提高精度和容错能力 ,所以它广泛应用于目标识别领域中。本文描述了一种基于旋转机械故障诊断多传感器融合系统 ,在数据融合处理中利用模糊神经网络 ,比较了采用基于数据融合实验结果和没有融合的原始数据 ,显然前者比后者更精确。
|
| 关 键 词： | 多传感器 数据融合 模糊神经网络 旋转机械故障诊断 隶属度 |
APPLICATION OF MULTI-SENSOR DATA FUSION BASED ON FUZZY NEURAL NETWORK IN ROTA TING MECHANICAL FAILURE DIAGNOSIS |
| |
| Zhou Jiemin,Lin Gang,Gong Shuli,Tao Yungang.APPLICATION OF MULTI-SENSOR DATA FUSION BASED ON FUZZY NEURAL NETWORK IN ROTA TING MECHANICAL FAILURE DIAGNOSIS[J].Transactions of Nanjing University of Aeronautics & Astronautics,2001,18(1). |
| |
| Authors: | Zhou Jiemin Lin Gang Gong Shuli Tao Yungang |
| |
| Institution: | Zhou Jiemin Lin Gang Gong Shuli Tao YungangCollege of Civil Aviation,NU)29 Yudao Street,Nanjing 210016,P.R.China |
| |
| Abstract: | At present, multi-se nsor fusion is widely used in object recognition and classification, since this technique can efficiently improve the accuracy and the ability of fault toleranc e. This paper describes a multi-sensor fusion system, which is model-based and used for rotating mechanical failure diagnosis. In the data fusion process, the fuzzy neural network is selected and used for the data fusion at report level. By comparing the experimental results of fault diagnoses based on fusion data wi th that on original separate data,it is shown that the former is more accurate than the latter. |
| |
| Keywords: | multi-sensor data fus ion fuzzy neural network rotating mechanical fault diagnosis grade of members hip |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
