Application of Boundary Local Feature Scale Adaptive Matching Extension EMD Endpoint Effect Suppression Method in Blasting Seismic Wave Signal Processing
The intrinsic endpoint effect of empirical mode decomposition (EMD) will lead to serious divergence of the intrinsic mode function (IMF) at the endpoint, which will lead to the distortion of IMF and affect the decomposition accuracy of EMD. In view of this phenomenon, an EMD endpoint effect suppress...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/2804539 |
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| _version_ | 1832560977637277696 |
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| author | Jing Wu Li Wu Miao Sun Ya-ni Lu Yan-hua Han |
| author_facet | Jing Wu Li Wu Miao Sun Ya-ni Lu Yan-hua Han |
| author_sort | Jing Wu |
| collection | DOAJ |
| description | The intrinsic endpoint effect of empirical mode decomposition (EMD) will lead to serious divergence of the intrinsic mode function (IMF) at the endpoint, which will lead to the distortion of IMF and affect the decomposition accuracy of EMD. In view of this phenomenon, an EMD endpoint effect suppression method based on boundary local feature scale adaptive matching extension was proposed. This method can consider both the change trend of the signal at the endpoint and the change rule of the signal inside. The simulation results showed that the proposed method had better suppression effect on the intrinsic endpoint effect of EMD than the traditional EMD endpoint effect suppression method and achieved high-precision IMF. The endpoint effect suppression method of EMD based on boundary local feature scale adaptive matching extension was used to process the actual blasting seismic signal. The decomposition results showed that the method can effectively suppress the endpoint effect of EMD of blasting seismic signal and are helpful to extract the detailed characteristic parameters of blasting seismic signal. |
| format | Article |
| id | doaj-art-e6add909bfc3460794863c89a6330b64 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-e6add909bfc3460794863c89a6330b642025-02-03T01:26:23ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/28045392804539Application of Boundary Local Feature Scale Adaptive Matching Extension EMD Endpoint Effect Suppression Method in Blasting Seismic Wave Signal ProcessingJing Wu0Li Wu1Miao Sun2Ya-ni Lu3Yan-hua Han4Faculty of Civil Engineering, Hubei Engineering University, Xiaogan 432000, ChinaFaculty of Engineering, China University of Geosciences, Wuhan 430074, ChinaCollege of Environment and Engineering, Hubei Land Resources Vocational College, Wuhan 430090, ChinaFaculty of Civil Engineering, Hubei Engineering University, Xiaogan 432000, ChinaFaculty of Civil Engineering, Hubei Engineering University, Xiaogan 432000, ChinaThe intrinsic endpoint effect of empirical mode decomposition (EMD) will lead to serious divergence of the intrinsic mode function (IMF) at the endpoint, which will lead to the distortion of IMF and affect the decomposition accuracy of EMD. In view of this phenomenon, an EMD endpoint effect suppression method based on boundary local feature scale adaptive matching extension was proposed. This method can consider both the change trend of the signal at the endpoint and the change rule of the signal inside. The simulation results showed that the proposed method had better suppression effect on the intrinsic endpoint effect of EMD than the traditional EMD endpoint effect suppression method and achieved high-precision IMF. The endpoint effect suppression method of EMD based on boundary local feature scale adaptive matching extension was used to process the actual blasting seismic signal. The decomposition results showed that the method can effectively suppress the endpoint effect of EMD of blasting seismic signal and are helpful to extract the detailed characteristic parameters of blasting seismic signal.http://dx.doi.org/10.1155/2021/2804539 |
| spellingShingle | Jing Wu Li Wu Miao Sun Ya-ni Lu Yan-hua Han Application of Boundary Local Feature Scale Adaptive Matching Extension EMD Endpoint Effect Suppression Method in Blasting Seismic Wave Signal Processing Shock and Vibration |
| title | Application of Boundary Local Feature Scale Adaptive Matching Extension EMD Endpoint Effect Suppression Method in Blasting Seismic Wave Signal Processing |
| title_full | Application of Boundary Local Feature Scale Adaptive Matching Extension EMD Endpoint Effect Suppression Method in Blasting Seismic Wave Signal Processing |
| title_fullStr | Application of Boundary Local Feature Scale Adaptive Matching Extension EMD Endpoint Effect Suppression Method in Blasting Seismic Wave Signal Processing |
| title_full_unstemmed | Application of Boundary Local Feature Scale Adaptive Matching Extension EMD Endpoint Effect Suppression Method in Blasting Seismic Wave Signal Processing |
| title_short | Application of Boundary Local Feature Scale Adaptive Matching Extension EMD Endpoint Effect Suppression Method in Blasting Seismic Wave Signal Processing |
| title_sort | application of boundary local feature scale adaptive matching extension emd endpoint effect suppression method in blasting seismic wave signal processing |
| url | http://dx.doi.org/10.1155/2021/2804539 |
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