Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing

Zhen Xing Li; Wei Xiao Dai

doi:10.4028/www.scientific.net/AMM.347-350.854

Paper Titles

Design of Mechanical Arm for Laser Weeding Robot
p.834

Optimal Energy-Effective Gait for Biped Robot
p.839

A Video Bit Rate Control Algorithm Based on Weighted Estimate of Image Brightness Difference
p.844

Network Video Transmission Quality Assurance Algorithm Based on Congestion Control
p.849

Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing
p.854

Research on the Joint Detection of TD-SCDMA
p.859

Application of ANN in Hydraulic Pressure Control Fault Diagnosis System
p.864

Controller Design for ISG Hybrid Electric Vehicle Based on SAE J1939 Protocol
p.869

The Boundary Element Method of Testing Wood Moisture Content Problem in the Heterogeneous and Asymmetric Case
p.873

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Local Mean Decomposition Combined with SVD and...

Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing

Abstract:

To suppress the noise effect on the performance of local mean decomposition (LMD) in signal processing, a new method combined with singular value decomposition (SVD) denosing was proposed in this work. SVD is applied to denoise the observed signal, and then the signal decompose to series product functions (PF) by LMD, meanwhile, SVD is applied to denoise the PF and sum the PF to LMD again. This method can suppress the noise effect to attain high precision PF for time-frequency analysis. Simulation signal and telemetry vibration signal processing results show the effectiveness of the method.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

854-858

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.854

Citation:

Cite this paper

Online since:

August 2013

Authors:

Zhen Xing Li, Wei Xiao Dai

Keywords:

De-Noising, Local Mean Decomposition (LMD), SVD, Telemetry, Vibration Signal Processing

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Wang Y X, He Zj, Zi Y Y. A demodulation method based on local mean decomposition and its application in rub-impact fault diagnosis,. Measurement Science & Technology, vol. 20, no. 2, pp.205-209.

DOI: 10.1088/0957-0233/20/2/025704

Google Scholar

[2] Huan N E, Wu Z H, Long S R, et al. On instantaneous frequency,. Advance in Adaptive Data Analysis, vol. 1, no. 2, pp.177-229, (2009).

Google Scholar

[3] Wang Yanxue, He Zhengjia, Zi Yanyang, et al. Several key issues of local decomposition method used in mechanical fault diagnosis,. Journal of Vibration and Shock, vol. 31, no. 9, pp.9-12, (2012).

Google Scholar

[4] Ren Daqian, Yang Shixi, Wu Zhaotong, et al. Instantaneous frequency extraction method and experiment based LMD,. Journal of Zhejiang University (Engineering Science), vol. 43, no. 3, pp.523-528, (2009).

Google Scholar

[5] Akritas A G, Malaschonok G I. Application of Sigular Value Decomposition(SVD),. Mathematics and Computers in Simulation, vol. 67, no. 1, pp.15-31, (2004).

DOI: 10.1016/j.matcom.2004.05.005

Google Scholar

[6] Wu Chun-Guo, Liang Yan-Chun, Sun Yangfeng, et al. On the equivalence of SVD and PCA,. Chinese Journal of Computer, vol. 27, no. 2, pp.286-288, (2004).

Google Scholar

[7] Zhao Lifeng, Yao Yuling. Signal reconstruction by the SVD method,. Journal of Ocean University of Qingdao, vol. 29, no. 1, pp.101-106, (1999).

Google Scholar

[8] Wang Taiyong, Wang Zhengying, Xu Yonggang, et al. Empirical mode decomposition and its engineering applications based on SVD denoising,. Journal of Vibration and Shock, vol. 24, no. 3, 96-98, (2005).

Google Scholar