Bolt Detection Signal Analysis Method Based on ICEEMD
The construction quality of the bolt is directly related to the safety of the project, and, as such, it must be tested. In this paper, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced to the bolt detection signal analysis. The ICEEMD is used in order to decom...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2018/1590983 |
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| _version_ | 1832564854234284032 |
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| author | Chunhui Guo Zhan Zhang Xin Xie Zhengyu Yang |
| author_facet | Chunhui Guo Zhan Zhang Xin Xie Zhengyu Yang |
| author_sort | Chunhui Guo |
| collection | DOAJ |
| description | The construction quality of the bolt is directly related to the safety of the project, and, as such, it must be tested. In this paper, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced to the bolt detection signal analysis. The ICEEMD is used in order to decompose the anchor detection signal according to the approximate entropy of each intrinsic mode function (IMF). The noise of the IMFs is eliminated by the wavelet soft threshold denoising technique. Based on the approximate entropy and the wavelet denoising principle, the ICEEMD-De anchor signal analysis method is proposed. From the analysis of the vibration analog signal, as well as the bolt detection signal, the result shows that the ICEEMD-De method is capable of correctly separating the different IMFs under noisy conditions and also that the IMF can effectively identify the reflection signal of the end of the bolt. |
| format | Article |
| id | doaj-art-cef30684672542f7b862cb06ddb61d5e |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-cef30684672542f7b862cb06ddb61d5e2025-02-03T01:10:04ZengWileyShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/15909831590983Bolt Detection Signal Analysis Method Based on ICEEMDChunhui Guo0Zhan Zhang1Xin Xie2Zhengyu Yang3College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, ChinaCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, ChinaDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USADepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USAThe construction quality of the bolt is directly related to the safety of the project, and, as such, it must be tested. In this paper, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced to the bolt detection signal analysis. The ICEEMD is used in order to decompose the anchor detection signal according to the approximate entropy of each intrinsic mode function (IMF). The noise of the IMFs is eliminated by the wavelet soft threshold denoising technique. Based on the approximate entropy and the wavelet denoising principle, the ICEEMD-De anchor signal analysis method is proposed. From the analysis of the vibration analog signal, as well as the bolt detection signal, the result shows that the ICEEMD-De method is capable of correctly separating the different IMFs under noisy conditions and also that the IMF can effectively identify the reflection signal of the end of the bolt.http://dx.doi.org/10.1155/2018/1590983 |
| spellingShingle | Chunhui Guo Zhan Zhang Xin Xie Zhengyu Yang Bolt Detection Signal Analysis Method Based on ICEEMD Shock and Vibration |
| title | Bolt Detection Signal Analysis Method Based on ICEEMD |
| title_full | Bolt Detection Signal Analysis Method Based on ICEEMD |
| title_fullStr | Bolt Detection Signal Analysis Method Based on ICEEMD |
| title_full_unstemmed | Bolt Detection Signal Analysis Method Based on ICEEMD |
| title_short | Bolt Detection Signal Analysis Method Based on ICEEMD |
| title_sort | bolt detection signal analysis method based on iceemd |
| url | http://dx.doi.org/10.1155/2018/1590983 |
| work_keys_str_mv | AT chunhuiguo boltdetectionsignalanalysismethodbasedoniceemd AT zhanzhang boltdetectionsignalanalysismethodbasedoniceemd AT xinxie boltdetectionsignalanalysismethodbasedoniceemd AT zhengyuyang boltdetectionsignalanalysismethodbasedoniceemd |