南京航空航天大学学报（英文版）2001，Vol.18Issue(1)：91-96,6.
基于旋转机械故障诊断模糊神经网络多传感器融合
APPLICATION OF MULTI-SENSOR DATA
FUSION BASED ON FUZZY NEURAL NETWORK
IN ROTATING MECHANICAL FAILURE DIAGNOSIS
摘要
Abstract
At present, multi-sensor fusion is widely used in object recognition and classification, since this technique can efficiently improve the accuracy and the ability of fault tolerance. 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 with that on original separate data，it is shown that the former is more accurate than the latter.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/隶属度分类
航空航天引用本文复制引用
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[J].南京航空航天大学学报（英文版）,2001,18(1):91-96,6.
