摘要
提出了一种新的基于小波包的振动信号故障特征提取方法,运用这种方法对柴油机表面振动信号经过小波包降噪处理,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。对降噪信号提取频带能量特征,为神经网络故障诊断提供了新的故障样本。
The paper offers a new vibration signal sampling method based on wavelet packet,which can be used to sample the diesel engine vibration signal through de-noise processing by wavelet packet.It can significantly eliminate the signal interference and enhance signal-to-noise ratio.For energy featrue extraction from de-noise signals,It offers a new fault sample for neutral network fault diagnosis.
出处
《起重运输机械》
2009年第9期61-64,共4页
Hoisting and Conveying Machinery
关键词
柴油机
小波包
故障诊断
特征提取
diesel engine
wavelet packet
fault diagnosi
feature extraction
