摘要
通过调整柴油机不同气门间隙模拟故障,利用小波包分解算法对所采集柴油机缸盖表面的振动信号进行频带分解,以小波包频带能量百分比为特征向量,以同一工况下多次采样均值作为标准模式,通过改进BP神经网络实现了对柴油机气门间隙异常的故障诊断。
Using the improved algorithm of wavelet packet decomposition, the character parameter which is wavelet packet energy percentum of the cylinder cap vibration signal during a full working cycle of diesel engine is picked up, and by improved back-propagation network algorithm, the valve gap abnormal fault is diagnosed.
出处
《机电工程技术》
2007年第9期70-73,共4页
Mechanical & Electrical Engineering Technology
关键词
故障诊断
气门
振动
小波包
BP网络
fault diagnosis
valve gap
Vibration
wavelet packet
back-propagation
