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MethodofFaultDiagnosisforRollingBearingBasedonBPNe
- 将BP神经网络应用于滚动轴承故障诊断，实现滚动轴承的智能化故障诊断和状态监测，软件平台为MATLAB。-BP neural network to fault diagnosis of rolling bearing, rolling bearing to achieve intelligent fault diagnosis and condition monitoring software platform for MATLAB.
xiaobobao-BP-zhoucheng-zhenduan-
- 基于小波包特征向量与神经网络的滚动轴承故障诊断。：基于故障轴承的特征提取，提出了将小波包分析与神经网络结合的滚动轴承故障诊断方法。对滚动轴承信号进行3层小波包分解，构造小波包特征向量作为故障样本，用训练好的BP神经网络进行故障诊断，试验结果表明，该方法能够有效地诊断出滚动轴承的故障类型。-Fault Diagnosis of Rolling Bearings Based on W avelet Packet Energy Eigenvector and Neural Network
pingjuntimefre
- 针对滚动轴承全寿命周期试验数据，采用滑动平均法对原始信号平滑后求其时域特征图，可用于轴承性能退化评估的研究-Experimental data for the entire life cycle of rolling bearings, using the moving average method to study after the original time-domain signal smoothing seeking the feature map, can be used for b
Fault-Data-Sets
- matlab做的，关于滚动轴承振动信号故障诊断很重要的数据库，做机器学习的朋友可以看看啊！-Matlab do, on the rolling bearing vibration signal fault diagnosis is very important , machine learning friends can see ah!
Cnn_train_rollingball
- 卷积神经网络实现CWRU滚动轴承数据集故障分类(Fault classification of volume and network)
基于svm的滚动轴承故障诊断
- 使用SVM算法对不同模式的滚动轴承故障进行分类