Dissertation > Excellent graduate degree dissertation topics show

Wavelet Processing of Acoustic Emission Signal in Rock Using Pywavelet

Author: GongJian
Tutor: OuYangZhiHua
School: Wuhan University of Science and Technology
Course: Mining engineering
Keywords: Acoustic Emission Signal Process Wavelet Transform Denoise Pywavelet module
CLC: TD311
Type: Master's thesis
Year: 2011
Downloads: 71
Quote: 1
Read: Download Dissertation

Abstract


With the development of underground mining in metal mine, pressure activity has been gradually revealed, what’s more, many small-scale mine methods are not standardized, which boost the formation of large gob and overload the pillar which gradually accumulate strain energy, then the pillar would split or even collapse, which would seriously endanger mine safety.Acoustic emission monitoring to pressure activity has been rapidly developed in recent decades and widely used in engineering and mining industry. Acoustic emission technology in mines need to address the position of monitoring points and the problem of signal denoising. This article possesses Puqing iron mine as the monitoring object which is in Daye city, Hubei province. In view of its exploitation, acoustic emission monitoring points were selected and the natural frequency experiment was consulted to acquire acoustic emission frequency of natural rock . To denoise the signal, Fast Fourier Transform and wavelet transform were compared. The main conclusions obtained by studying are as follows:1. As on-site condition constrains, acoustic emission monitoring points, which mainly distribut on the side of rock or pillar in the ongoing recovery level , are assigned by artificial arrangement. As mining continues, mined area has gradually become larger, some irregular pillars are over-pressured and splitting occurs, these pillars should be focused as monitoring objects.2. The rock acoustic emission frequency of Puqing iron mine is between 800KHz and 1000KHz, which would provide basis for using wavelet transform to denoise the frequency distribution of the signal, and take two different loading rates to demonstrate that under on-site condition, the more frequent pressure activity is, the more of the number of acoustic emission increase.3. Through the contrast of Fast Fourier Transform and wavelet transform, the advantage of wavelet transform on denoising has been worked out. With pywavelet module and matplotlib module in Python programming language, wavelet transform is used as denoising example, which means to remove the frequency which below the threshold and receive high signal to noise ratio through wavelet decompositon and reconstruction. The results are as good as expected.

Related Dissertations

  1. Characteristics of sensory stimulation evoked,R318.0
  2. The Study of Vibration Signal Analysis System Based on Wavelet Fractal Theory,TN911.6
  3. Reconnaissance System of Radar Signal Research and Design,TN974
  4. Two Algorithms for Image Processing Based on Chaos and Fractal,TP391.41
  5. Research and Realization of Digital Watermarking Algorithm for Binary Images Based on Wavelet Transform,TP309.7
  6. Research of Image Edge Detection Based on Wavelet Transform and EMD,TP391.41
  7. Research on Testing and Analyzing Technology for Time Parameter of Aerospace Relay,TM58
  8. The Research of Denoising and Edge Detection Method in Image Measurement,TP391.41
  9. Image Fusion Algorithm Based on Wavelet Transform,TP391.41
  10. Image Compression Based on Wavelet Transform of Parallel Algorithm,TP391.41
  11. Geometrically Robust Image Watermarking Algorithm,TP309.7
  12. Research on Structural Damage Identification of Girder Structure Base on Wavelet Packet Analysis,U446
  13. Print Image Detection Based on DM642,TP391.41
  14. Signal Classification Based on Hidden Markov Model,O211.62
  15. Research of Extract Method of Seismic Signal’s Instantaneous Parameters Based on Wavelet Transform,O174.22
  16. Short-term load forecasting technology,TM715
  17. Windowed Lifting Wavelet Packet in Fault Location for Research,TM755
  18. The FPGA Solution of Radar Signal De-noising Based on Wavelet Transform,TN957.51
  19. Based on DSP and FPGA fabric inspection machine image processing system design,TP391.41
  20. Based on structural similarity with the MTF image quality evaluation method,TP391.41
  21. Using wavelet transform and optimize embedded block truncation coding for image compression,TP391.41

CLC: > Industrial Technology > Mining Engineering > Mine the pressure and support > Theory of rock pressure > Situ rock stress
© 2012 www.DissertationTopic.Net  Mobile