[1]张峰,马舒啸,石现峰.基于循环维纳滤波的振动信号去噪算法研究[J].计算机技术与发展,2014,24(06):49-51.
 ZHANG Feng,MA Shu-xiao,SHI Xian-feng.Research on Denoising Algorithm of Vibration Signal Based on Cricular Wiener Filtering[J].,2014,24(06):49-51.
点击复制

基于循环维纳滤波的振动信号去噪算法研究()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年06期
页码:
49-51
栏目:
智能、算法、系统工程
出版日期:
2014-06-30

文章信息/Info

Title:
Research on Denoising Algorithm of Vibration Signal Based on Cricular Wiener Filtering
文章编号:
1673-629X(2014)06-0049-03
作者:
张峰马舒啸石现峰
西安工业大学 电子信息工程学院
Author(s):
ZHANG FengMA Shu-xiaoSHI Xian-feng
关键词:
振动信号去噪循环维纳滤波线性相位
Keywords:
vibration signaldenoisingcircular Wiener filteringlinear phase
分类号:
TN911.7
文献标志码:
A
摘要:
振动信号的去噪需要在滤除噪声的同时尽可能避免相位失真。传统的锐截止低通滤波器或FIR滤波器无法在去噪效果和线性相位之间取得平衡,难以满足振动信号的去噪需求。针对这一问题,将线性相位的维纳滤波算法引入到振动信号的去噪中,并结合振动信号的循环平稳特性,形成了振动信号的循环维纳滤波算法。文中以直接维纳滤波为基础对循环维纳滤波算法的原理进行了深入分析和仿真实现,并基于实测汽轮机振动信号对算法的去噪性能进行了讨论。理论分析及算法仿真表明,循环维纳滤波算法在保证线性相位的前提下有较好的去噪效果,能够解决传统去噪算法所存在的去噪效果与线性相位难以均衡的问题。
Abstract:
Vibration signal denoising needs to avoid the phase distortion as far as possible. Traditional sharp cut-off of low-pass filter and FIR filter are unable to strike a balance between denoising and having a linear phase. It's difficult to meet the demand of vibration signal denoising. In order to solve this problem,the linear phase of Wiener filtering algorithm is introduced into the vibration signal denoising. Combined with the cycle of steady vibration signal characteristics,it forms the vibration signal cycle of Wiener filtering algorithm. Based on Wiener filtering,circulated Wiener filtering algorithm is studied by the thorough analysis and simulation. And the actual turbine vibra-tion signal denoising algorithm is proposed. Theoretical analysis and algorithm simulation shows that the circulation Wiener filtering algo-rithm has good effect of denoising,which can solve the contradictory between denoising effect and linear phase equilibrium.

相似文献/References:

[1]崔阳 吴爱华.一种面向B2B垂直搜索的网页信息去噪方法[J].计算机技术与发展,2008,(12):70.
 CUI Yang,WU Ai-hua.A Method of Eliminating Noisy Information in Web Pages Oriented B2B Vertical Searching[J].,2008,(06):70.
[2]王发牛 程志友 梁栋 王年.一种冗余小波变换的心电信号噪声消除方法[J].计算机技术与发展,2006,(11):199.
 WANG Fa-niu,CHENG Zhi-you,LIANG Dong,et al.An ECG Signal Denoising Method Based on Redundant Wavelet Transform[J].,2006,(06):199.
[3]张琴 蔡勇.支持向量学习机在点云去噪中的应用[J].计算机技术与发展,2011,(06):85.
 ZHANG Qin,CAI Yong.Application of Support Vector Machine in Point Clouds Denoising[J].,2011,(06):85.
[4]刘丹,崔阳.基于B2B垂直搜索的网页信息抽取系统研究[J].计算机技术与发展,2013,(02):153.
 LIU Dan,CUI Yang.Research on System of Web Information Extraction Based on B2B Vertical Search Engine[J].,2013,(06):153.
[5]杨思燕.Bandelet变换原理及应用研究[J].计算机技术与发展,2013,(07):233.
 YANG Si-yan.Research on Principle and Application of Bandelet[J].,2013,(06):233.
[6]颜兵 王金鹤 赵静.基于均值滤波和小波变换的图像去噪技术研究[J].计算机技术与发展,2011,(02):51.
 YAN Bing,WANG Jin-he,ZHAO Jing.Research of Image De-noising Technology Based on Mean Filtering and Wavelet Transformation[J].,2011,(06):51.
[7]张峰,尹丽,石现峰. 振动信号的最小方差谱估计算法[J].计算机技术与发展,2015,25(10):76.
 ZHANG Feng,YIN Li,SHI Xian-feng. Minimum-variance Spectral Estimation Algorithm for Vibration Signal[J].,2015,25(06):76.
[8]姜吉荣,陈小惠. 基于多特征的路面裂缝目标提取方法[J].计算机技术与发展,2016,26(05):173.
 JIANG Ji-rong,CHEN Xiao-hui. Pavement Crack Object Extraction Method Based on Multi-features[J].,2016,26(06):173.
[9]闵庆凯,蔡松成.基于交叉预测的蛋白质交互识别[J].计算机技术与发展,2018,28(04):17.[doi:10.3969/ j. issn.1673-629X.2018.04.004]
 MIN Qing-kai,CAI Song-cheng.Protein-protein Interaction Identification Based on Cross Prediction[J].,2018,28(06):17.[doi:10.3969/ j. issn.1673-629X.2018.04.004]
[10]刘芳,张云洋.基于像素邻域点信息的藏文图像细化算法研究[J].计算机技术与发展,2018,28(04):21.[doi:10.3969/ j. issn.1673-629X.2018.04.005]
 LIU Fang,ZHANG Yun-yang.Research on a Tibetan Image Refinement Algorithm Based on Adjacent Pixel Points, Information[J].,2018,28(06):21.[doi:10.3969/ j. issn.1673-629X.2018.04.005]

更新日期/Last Update: 1900-01-01