Application in Deformation Monitoring Signal Based on Wavelet Modular Maximum Algorithm

Yong Hong He; Hong Yan Wen; Peng Wei Jin

doi:10.4028/www.scientific.net/AMR.591-593.1862

Paper Titles

Study on High-Grade CNC Machine Tool Wear Monitoring Methods and Experimental System
p.1844

Development of Signal Conditioning Circuit of a New Strain-Crack Detecting System
p.1849

Study on Multi-Parameter Monitoring Instrument Based on GSM Network
p.1854

Research on Substation Transformer Monitoring System with GSM Network
p.1858

Application in Deformation Monitoring Signal Based on Wavelet Modular Maximum Algorithm
p.1862

Design and System Realization of Real-Time Monitoring of High Voltage Lines
p.1868

Development of Quantitative Analytical Instrument for Colloidal Gold Strips
p.1872

3D Solid Finite Element Modeling and Rotordynamics of Large Rotating Machines: Application to an Industrial Turbo Engine
p.1879

The Spectral Leakage Minimization of Spectrum for Motor Fault Analysis Using Adaptive Multi-Taper Method
p.1886

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Application in Deformation Monitoring Signal Based...

Application in Deformation Monitoring Signal Based on Wavelet Modular Maximum Algorithm

Abstract:

In the deformation monitor data, the noise exists inevitably. According to the different dissemination characteristic of the signal and the noise in the different scale, Wavelet modular maximum de-nosing algorithm combines the method of threshold de-noising with scale trading theory by Witkin, and picks out modular maximum value of the noise, makes use of Modular Maximum value of the signal to recover the coefficients of different scale efficiently, until recovers the signal. Contrast to the traditional threshold value and translation invariance, the processing result shows de-nosing method based on wavelet modular maximum can pick out the noise in the deformation data, protect the original information, have a better effect on de-noising, enforce the signal to noise ratio,Wavelet modular maximum de-nosing algorithm is a effective method in the deformation monitor data processing.

You might also be interested in these eBooks

Manufacturing Engineering and Automation II

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

1862-1867

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.1862

Citation:

Cite this paper

Online since:

November 2012

Authors:

Yong Hong He, Hong Yan Wen, Peng Wei Jin

Keywords:

Deformation Monitoring, GPS Positing, Threshold Value De-Noising, Translation Invariance, Wavelet Modular Maximum Value

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] H.Y. Wen: Bulletin of Surveying and Mapping, (2006) No.3, p.18.

Google Scholar

[2] S. H. Huang, H. Yin and Z. Jiang: <}0{>Deformation Monitoring Data Disposel (Publishing House of wuhan university, China 2002)<0}

Google Scholar

[3] B. wang, J.W. Tian and F.Y. Peng: Journal of Huazhong University of Science and Technology, Vol. 25 (1997) No.11, p.20

Google Scholar

[4] L.Y. Li and Y.H. Peng: Journal of El Ectronic Measurement and Instrument, Vol. 18 (2004) No.9, p.76.

Google Scholar

[5] C. Xu, R.Z. Zhao and X.B. Gan: Application Algorithm of Wavelet Analyses (Publishing House of Science, China 2004).

Google Scholar

[6] M. Han and L. Tian: Journal of System Simulation, (2005) No.11, p.226.

Google Scholar

[7] Yuan Hua, Zhang Wei-ning: Journal of System Simulation, (2005) No.3, p.838.

Google Scholar

[8] Study and Development Centre of Fecit Science and Technology Product: MATLAB6.5 Assistance Wavelet Analyses and Application (Publishing House of Electronics Industry, China 2002)

Google Scholar

[9] S.L. Tian and D.Q. Xu: Hydropower Automation and Dam Monitoring, Vol. 28 (2004) No.1, p.49.

Google Scholar

[10] L. Wen, Z.S. Liu and Y.J. Ge: Journal of Hefei University of Technology (Natural Science), Vol. 25 (2002) No.2.

Google Scholar