柴油机故障诊断与分析

Diesel engine fault diagnosis and analysis

通过采集16V240ZJ型柴油机振动信号并利用小波包分解对振动信号进行消噪处理,利用频带分解技术提取振动信号的特征值向量,应用神经网络实现柴油机自适应的故障诊断。

First,by acquiring the diesel engine vibration signal and using the wavelet packet decomposition to eliminate vibration signal noise;then,using the frequency band decomposition technique to extract characteristic value vector of vibration signal;finally,using the neural network to realize diesel engine adaptive fault diagnosis.