A New Zoning Method of Blasting Vibration Based on Energy Proportion and Its SVM Classification Models
The blasting vibration signals show obvious zoning propagation characteristics. Because of not considering the specific influences of geological and topographical conditions, the existing zoning methods of blasting vibration cannot fully describe the internal details of blasting vibration signals. T...
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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/10.1155/2021/6697682 |
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| _version_ | 1849685899435048960 |
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| author | Haixia Wei Jinfeng Chen Jie Zhu Xiaolin Yang Huaibao Chu Xisen Liu |
| author_facet | Haixia Wei Jinfeng Chen Jie Zhu Xiaolin Yang Huaibao Chu Xisen Liu |
| author_sort | Haixia Wei |
| collection | DOAJ |
| description | The blasting vibration signals show obvious zoning propagation characteristics. Because of not considering the specific influences of geological and topographical conditions, the existing zoning methods of blasting vibration cannot fully describe the internal details of blasting vibration signals. Therefore, a new zoning method of blasting vibration based on energy proportion was proposed in this paper, in which the energy proportion in low, medium, and high frequency bands after multiresolution wavelet analysis is used as the zoning index to distinguish the different characteristics of blasting vibration signals in different zones. Based on the proposed zoning method, 343 sets of measured blasting vibration signals were used to train and test the SVM classification models with four different types of kernel functions. The testing results demonstrate that the zoning method of blasting vibration based on energy proportion has high feasibility, flexibility, and reliability, and the SVM classification models with RBF have higher accuracy than models with other kernel functions in blasting vibration zoning prediction. |
| format | Article |
| id | doaj-art-c76d44bac2d24494863bb4d175a3c2f4 |
| institution | DOAJ |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-c76d44bac2d24494863bb4d175a3c2f42025-08-20T03:22:55ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/66976826697682A New Zoning Method of Blasting Vibration Based on Energy Proportion and Its SVM Classification ModelsHaixia Wei0Jinfeng Chen1Jie Zhu2Xiaolin Yang3Huaibao Chu4Xisen Liu5School of Civil Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, ChinaSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, ChinaSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, ChinaSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, ChinaSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, ChinaSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, ChinaThe blasting vibration signals show obvious zoning propagation characteristics. Because of not considering the specific influences of geological and topographical conditions, the existing zoning methods of blasting vibration cannot fully describe the internal details of blasting vibration signals. Therefore, a new zoning method of blasting vibration based on energy proportion was proposed in this paper, in which the energy proportion in low, medium, and high frequency bands after multiresolution wavelet analysis is used as the zoning index to distinguish the different characteristics of blasting vibration signals in different zones. Based on the proposed zoning method, 343 sets of measured blasting vibration signals were used to train and test the SVM classification models with four different types of kernel functions. The testing results demonstrate that the zoning method of blasting vibration based on energy proportion has high feasibility, flexibility, and reliability, and the SVM classification models with RBF have higher accuracy than models with other kernel functions in blasting vibration zoning prediction.http://dx.doi.org/10.1155/2021/6697682 |
| spellingShingle | Haixia Wei Jinfeng Chen Jie Zhu Xiaolin Yang Huaibao Chu Xisen Liu A New Zoning Method of Blasting Vibration Based on Energy Proportion and Its SVM Classification Models Shock and Vibration |
| title | A New Zoning Method of Blasting Vibration Based on Energy Proportion and Its SVM Classification Models |
| title_full | A New Zoning Method of Blasting Vibration Based on Energy Proportion and Its SVM Classification Models |
| title_fullStr | A New Zoning Method of Blasting Vibration Based on Energy Proportion and Its SVM Classification Models |
| title_full_unstemmed | A New Zoning Method of Blasting Vibration Based on Energy Proportion and Its SVM Classification Models |
| title_short | A New Zoning Method of Blasting Vibration Based on Energy Proportion and Its SVM Classification Models |
| title_sort | new zoning method of blasting vibration based on energy proportion and its svm classification models |
| url | http://dx.doi.org/10.1155/2021/6697682 |
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