摘要
针对小波阈值和奇异值分解降噪法的不足,研究一种新的小波阈值函数。提出一种基于改进阈值的奇异值小波降噪方法,该方法利用奇异值分解技术,将噪声非均匀分布的信号正交分解为噪声分布相对均匀的分量,并对每个分量进行小波阈值降噪,重构降噪后的分量,得到降噪信号。仿真实例证明,该方法与小波软、硬阈值及改进阈值法相比,不仅提高信噪比,而且能够更好地消除高斯噪声。利用该方法对柱塞泵不同状态振动信号进行降噪,结果表明,该方法能有效抑制噪声,为柱塞泵振动信号预处理提供一种更为有效的方法。
In order to eliminate noise signal of piston pump vibration signal, a new wavelet threshold function was used for the shortcomings of wavelet threshold and singular decomposition de-noising method. An improved de-noising method was put forward by combining singular value decomposition and new wavelet threshold function de-noising method. In the new method, the noise signal is decomposed into noise uniformity vectors, and through wavelet threshold de-noising on every vector, finally, reconstruction signal. Emulation experiment results show that the method has better de-noising effect than wavelet soft, hard and new threshold de-noising methods. Different vibration signal of piston pump was de-noised by the method. The result proves it can reduce the noise of the vibration signal of piston Dump efficiently.
出处
《机械强度》
CAS
CSCD
北大核心
2012年第4期475-480,共6页
Journal of Mechanical Strength
基金
国防预研基金(9140A27020309JB4701)
第二炮兵工程学院科技创新基金(XY2010JJB38)资助~~
关键词
柱塞泵
振动信号
奇异值分解
小波阈值法
降噪
Vibration signal
Singular value decomposition
Wavelet threshold method
De-noising
