基于数据融合的滚动轴承故障诊断研究

信息融合方法应用到滚动轴承故障诊断之中,能有效地利用传感器资源最大限度地获取旋转机械中有关被测对象的状态信息.以滚动轴承小波分解后的能量信息作为特征,通过神经网络作为分类器对滚动轴承故障进行识别,经过一定的信息融合分析处理,能够较为准确地识别设备的故障.

Research on fault diagnosis of rolling bearings based on data fusion

Information fusion method is applied to the fault diagnosis of rolling bearings,using the resources of sensors effectively to obtain the status of rotating machine about the measured object.The rolling energy of wavelet decomposition is used as feature information,through the neural network as a classifier to identify the bearings fault,and then by some analysis and process of information fusion,equipment failure can be identified more accurately.