De-noising of Gear Pump Vibration Signal Based on Improved Wavelet Packet and Singular Value Decomposition
-
摘要: 针对传统基于信号和噪声频谱不同而实现去噪方法的缺陷,研究了小波阈值求解方法和奇异值分解特征选取方法,提出了改进阈值的小波包奇异值去噪方法。该方法将输入信号小波包分解后,进行新阈值去噪,再利用奇异值分解法对重构后的信号进行去噪,改进阈值的小波包奇异值法去噪效果更好。用该方法对齿轮泵的正常状态和侧板磨损故障状态的振动信号进行去噪处理,能有效地抑制噪声。Abstract: After a new computing method of threshold and a new choosing method ot characteristic value oi singular value were developed, and an improved de-noising method was presented by combining wavelet packet and singular value de-noising method, aiming at the shortcomings of conventional de-noising methods that based on the frequen-cy spectrum difference between noise and signal. In the new method, vibration signals are first decomposed by the wavelet packet, and then the new threshold de-noising on the wavelet packet coefficient is used. Finally, the recon-struction signal is de-noised by the singular value decomposition. Experimental results show that the new method has better de-noising effect than other conventional methods and efficiently reduces the noise of the vibration signal of gear pump, and it provides an effective method for pretreating vibration signal of gear pump.
-
Key words:
- gear pump /
- vibration signal /
- wavelet packet decomposition /
- singular value decomposition /
- de-noising
-
[1] Wang J P,Hu H T.Vibration based fault diagnosis of pumpusing technique[J].Measurement,2006,(39):176～185 [2] 陆望龙.实用液压机械故障排除与修理大全[M].长沙:湖南科学技术出版社,2002 [3] Zhang J,Lin C S,Deng P.Research on aircraft magnetic com-pensation based on improved singular value decomposition[A].2011 International Conference on Information Systems andComputational Intelligence[C],2011,(2):464～467 [4] Mallat S.A Wavelet Tour of Signal Processing[M].北京:机械工业出版社,2003 [5] 马建仓,刘小龙,陈静.二代小波降噪与盲分离结合应用于航空发动机振动信号分析[J].机械科学与技术,2010,29(1):7～11 [6] 段礼祥,张来斌,王朝晖等.柴油机振动信号的小波包奇异值降噪[J].中国石油大学学报(自然科学版),2006,30(1):93～971 [7] 彭培英,申永军,李黎阳.基于奇异值分解技术的离心机故障诊断[J].动力学与控制学报,2008,6(2):165～168 [8] 康春玉,章新华.一种基于奇异值分解的自适应降噪方法[J].声学技术,2008,27(3):455～458 [9] William W,Wu A M.Nonlinear singular spectrum analysis[J].Neural Networks,2002,(3):2819～2824 [10] 胡谋法,董文娟,王书宏等.奇异值分解带通滤波背景抑制和去噪[J].电子学报,2008,36(1):111～116 [11] 李峰,张英堂,王宁等.基于小波和奇异谱降噪理论的轴承故障诊断研究[J].轴承,2003,33(7):30～33 [12] 孔国杰,张培林,徐龙堂等.信号奇异性检测中的小波基选择及其工程应用[J].机械科学与技术,2009,28(4):542～544 [13] 段礼祥,张来斌,王朝晖.基于梯度阈值的往复压缩机振动信号小波包奇异值降噪[J].机械强度,2010,32(3):353～357 [14] 詹毅,周熙襄.小波包分析与奇异值分解(SVD)叠前去噪方法[J].石油地球物理勘探,2004,39(4):394～397 -
点击查看大图
计量
- 文章访问数: 116
- HTML全文浏览量: 14
- PDF下载量: 3
- 被引次数: 0
下载:
