Research of identification of acoustic emission signal of coal and rock
In view of problem that it is difficult to identify acoustic emission signal of coal and rock burst under complicated noise environment, the paper proposed an identification method of acoustic emission signal of coal and rock based on wavelet packet and wavelet feature energy spectrum coefficient an...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2013-12-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.12.010 |
| _version_ | 1797868618997825536 |
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| author | TONG Min-ming LI Peng-zhen TONG Zi-yuan LI Meng |
| author_facet | TONG Min-ming LI Peng-zhen TONG Zi-yuan LI Meng |
| author_sort | TONG Min-ming |
| collection | DOAJ |
| description | In view of problem that it is difficult to identify acoustic emission signal of coal and rock burst under complicated noise environment, the paper proposed an identification method of acoustic emission signal of coal and rock based on wavelet packet and wavelet feature energy spectrum coefficient analysis. Useful acoustic emission signals are extracted by taking Symlets wavelet as wavelet basis function of acoustic emission signal of coal and rock and making denoising process with hybrid threshold algorithm. Then wavelet feature energy spectrum coefficient and wavelet packet eigenvector are obtained by using Matlab software to separately simulate wavelet packet decomposition for the useful acoustic emission signals and noise signals. Simulation results show that changing degree of each energy of eigenvector of the useful acoustic emission signals is bigger，while changing of energy of eigenvector of the noise signals is relatively stable, which can be used to identify acoustic emission signal of coal and rock. |
| first_indexed | 2024-04-09T23:59:47Z |
| format | Article |
| id | doaj.art-28825614290a4dae8afae9bc0c640dbb |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-09T23:59:47Z |
| publishDate | 2013-12-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-28825614290a4dae8afae9bc0c640dbb2023-03-17T01:52:41ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2013-12-013912384210.7526/j.issn.1671-251X.2013.12.010Research of identification of acoustic emission signal of coal and rockTONG Min-mingLI Peng-zhenTONG Zi-yuanLI MengIn view of problem that it is difficult to identify acoustic emission signal of coal and rock burst under complicated noise environment, the paper proposed an identification method of acoustic emission signal of coal and rock based on wavelet packet and wavelet feature energy spectrum coefficient analysis. Useful acoustic emission signals are extracted by taking Symlets wavelet as wavelet basis function of acoustic emission signal of coal and rock and making denoising process with hybrid threshold algorithm. Then wavelet feature energy spectrum coefficient and wavelet packet eigenvector are obtained by using Matlab software to separately simulate wavelet packet decomposition for the useful acoustic emission signals and noise signals. Simulation results show that changing degree of each energy of eigenvector of the useful acoustic emission signals is bigger，while changing of energy of eigenvector of the noise signals is relatively stable, which can be used to identify acoustic emission signal of coal and rock.http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.12.010coal and rock burstacoustic emissionwavelet basis functiondenoising processwavelet packet decompositionwavelet feature energy spectrum coefficient |
| spellingShingle | TONG Min-ming LI Peng-zhen TONG Zi-yuan LI Meng Research of identification of acoustic emission signal of coal and rock Gong-kuang zidonghua coal and rock burst acoustic emission wavelet basis function denoising process wavelet packet decomposition wavelet feature energy spectrum coefficient |
| title | Research of identification of acoustic emission signal of coal and rock |
| title_full | Research of identification of acoustic emission signal of coal and rock |
| title_fullStr | Research of identification of acoustic emission signal of coal and rock |
| title_full_unstemmed | Research of identification of acoustic emission signal of coal and rock |
| title_short | Research of identification of acoustic emission signal of coal and rock |
| title_sort | research of identification of acoustic emission signal of coal and rock |
| topic | coal and rock burst acoustic emission wavelet basis function denoising process wavelet packet decomposition wavelet feature energy spectrum coefficient |
| url | http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.12.010 |
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