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本文提出了一种新的柴油机表面振动信号的故障特征的提取方法 ,利用柴油机表面振动信号经过小波降噪处理 ,有效地剔除柴油机表面振动信号的噪声干扰 ,提高信号的信噪比。用小波包提取降噪后振动信号的能量特征参数 ,以表征柴油机故障特征 ,建立起能量到柴油机故障的映射关系。实际研究表明这一特征提取方法是有效的。
In this paper, a new method for extracting fault features of diesel engine surface vibration signals is proposed. By using diesel engine surface vibration signals through wavelet denoising, the noise of diesel engine surface vibration signals can be effectively eliminated and the signal to noise ratio can be improved. The energy characteristic parameters of the vibration signal after noise reduction are extracted by wavelet packet to characterize the diesel engine fault characteristics and establish the mapping relationship between the energy and the diesel engine fault. Practical research shows that this feature extraction method is effective.