全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

小波域二维隐Markov模型滤波方法

, PP. 184-186

Keywords: 旋转机械,振动信号,二维隐Markov模型,小波分析,滤波

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对旋转机械工作过程中产生非平稳信号的特点,在分析非平稳振动信号小波分解后同层小波数和层间小波系数之间关系的基础上,结合二维隐Markov模型(2D-HMM)拓扑结构的表达能力,提出小波域2D-HMM滤波方法,并给出了具体的实现步骤,最后通过Bently-Nevada转子试验系统的实测信号验证算法的有效性。结果表明:小波域2D-HMM滤波算法能够有效地去除非平稳振动信号的噪声。

References

[1]  Randall R B. State of the art in monitoring rotating machinery-part 1[J]. Sound and Vibration, 2004, 38(3): 14-21.
[2]  Randall R B. State of the art in monitoring rotating machinery-part 2[J]. Sound and Vibration, 2004, 38(5): 10-17.
[3]  Anderson B D O. From wiener to hidden Markov models[J]. IEEE Control Systems Magazine, 1999, 19(3): 41-51.
[4]  Sofia A, Tobias R, Rolf J. Linear optimal prediction and innovations representations of hidden Markov models [J]. Stochastic Processes and Their Applications, 2003, 108(1): 131-149.
[5]  丁康 陈健林 等.平稳和非平稳振动信号的若干处理方法及发展[J].振动工程学报,:.
[6]  Crouse M S, Robert D N, Baraniuk R G. Wavelet-based statistical signal processing using hidden Markov models[J]. IEEE Trans. on. Signal Processing, 1998, 46(4) : 886-902.
[7]  叶大鹏.[D].杭州:浙江大学,2004.
[8]  Malllat S G, A theory for muhiresolution signal decomposition: the wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(7):674-693.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133