基于小波包与直接确定神经网络的柴油机故障诊断

Based on Wavelet Packet and Directly Determine Neural Network Diesel Engine Fault Diagnosis

系统论述了小波包分析在故障诊断中对信号的分解、去噪和重构,经过基函数神经网络可以很好地对信号进行诊断,最后用典型故障信号通过计算机仿真讨论该方法在柴油机故障诊断中的可行性。

The article discusses wavelet packet analysis in fault diagnosis signal decomposition, denoising and refactoring. The basis function neural network can be a good diagnostic signal. Through computer simulation, it use typical fault signal to discuss feasibility of method in diesel engine fault diagnosis.