小波神经网络技术在柴油机声信号处理中的应用

提出了利用小波分析和神经网络技术处理柴油机工作时产生的声信号，以对柴油机 进行故障诊断的方法．在实验台上模拟了喷油器的多个故障，并对柴油机工作时在汽缸盖 上方采集的声信号，利用小波分析和神经网络技术进行了详尽的分析，对各模式进行了成 功的判别．对利用声信号对柴油机进行故障诊断这一未成熟领域，在声信号的处理方法上 做出了成功的探索．

Application of Wavelet and Neural Network in Dealing with Acoustic Signals of Diesel

A method using wavelet analysis and neural network based on acoustic signals sent out by working diesel is put forward in this paper in order to diagnose diesel faults. Multiple faults of injector are simulated on the experiment table, and acoustic signals that sent out by working diesel are collected over the cylinder head. Using wavelet and neural network technology, this paper analyses the acoustic signals in detail and diagnoses the different faults successfully The method put forward in this paper makes a successful explore in the imma- the diagnose field based on acoustic signals.