摘要
在机械设备系统状态监测与故障分形诊断中,可以利用混沌特征量对系统吸引子动态结构变化的敏感性从振动信号中提取状态信息,试验表明,利用小波包改进算法降噪后的振动信号关联维数能作为特征参数准确而可靠的反映系统的真实状态。
In the state monitoring and fault fractal diagnosis of mechanical system, the sensitivity of chaotic characteristic quantity to the dynamic structure change of system attractors can be used to obtain the state information from vibration signals. The experiment proves that the correlation dimension of the vibration signals denoised by the ameliorated wavelet packet algorithm is reliable to reflect the real condition of the system.
出处
《拖拉机与农用运输车》
北大核心
2008年第5期4-5,共2页
Tractor & Farm Transporter
关键词
振动信号
特征参数
小波包变换
关联维数
Vibration signals
Characteristic parameter
Wavelet packet transform
Correlation dimension
