基于DDE和小波分析的神经网络故障诊断

NEURAL NETWORK FAULT DIAGNOSIS BASED ON DDE AND WAVELET ANALYSIS

应用DDE技术对小波分解后的故障信号进行特征提取 ,利用BP网络进行故障诊断 ,并给出了齿轮箱的故障诊断实例 ,实验证明 ,此方法能取得较好的效果。

Feature extraction of fault signals analysed by wavelet transform is presented by using DDE technology.Inputing the feature parameters to a BP neural network the fault diagnosis is realized.A BP neural network used for gear box diagnosing is constructed.The efficiency of such method is verified by experiments.