Single Pick Cutting Rock Load Identification Based on Improved Regularization Method
To explore the relationship between the cutting vibration and the cutting load of a single pick, this paper studied a new method for a single pick cutting rock load identification. This paper improved the low accuracy problem of the regularization method in the inverse process of frequency response...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/9994569 |
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| _version_ | 1832560692034535424 |
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| author | Lei Dong Siyu Zhai Bukang Wang Liang Dong Junyuan Wang Ruimin Shi |
| author_facet | Lei Dong Siyu Zhai Bukang Wang Liang Dong Junyuan Wang Ruimin Shi |
| author_sort | Lei Dong |
| collection | DOAJ |
| description | To explore the relationship between the cutting vibration and the cutting load of a single pick, this paper studied a new method for a single pick cutting rock load identification. This paper improved the low accuracy problem of the regularization method in the inverse process of frequency response function in the traditional load identification method by introducing a filter operator. By combining the inverse pseudoexcitation method and the improved regularization method, the identification of the load dependent on the vibration signal was realized. A single pick cutting rock test equipment was built, which could simulate the actual working conditions of pick cutting rock in the underground or tunnel. By changing cutting speed, cutting angle, cutting spacing, and cutting depth of the single pick, the change trends of real cutting load and identification load were obtained. The load identification method proposed in this paper was consistent with the change trend of the real load under the single pick cutting state. Therefore, the method had good recognition accuracy and the maximum load recognition error was 17.35%. Compared with other traditional load identification methods, the identification error was reduced by a maximum of 1.98%. This method can identify the cutting load of single pick and modify the morbidity problem of frequency response function matrix. The method has a better recognition effect on the cutting load of the pick than the traditional recognition methods. The research could benefit the design of the cutting system and the arrangement of the pick on the coal mine or tunneling machinery. |
| format | Article |
| id | doaj-art-bc38ce8235b849468a254e9f824bbe69 |
| 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-bc38ce8235b849468a254e9f824bbe692025-02-03T01:27:01ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/99945699994569Single Pick Cutting Rock Load Identification Based on Improved Regularization MethodLei Dong0Siyu Zhai1Bukang Wang2Liang Dong3Junyuan Wang4Ruimin Shi5School of Mechanical Engineering, North University of China, Taiyuan 030051, ChinaSchool of Mechanical Engineering, North University of China, Taiyuan 030051, ChinaNational Engineering Laboratory of Coal Mining and Excavation Machinery Equipment, Taiyuan 030032, ChinaNational Engineering Laboratory of Coal Mining and Excavation Machinery Equipment, Taiyuan 030032, ChinaSchool of Mechanical Engineering, North University of China, Taiyuan 030051, ChinaSchool of Mechanical Engineering, North University of China, Taiyuan 030051, ChinaTo explore the relationship between the cutting vibration and the cutting load of a single pick, this paper studied a new method for a single pick cutting rock load identification. This paper improved the low accuracy problem of the regularization method in the inverse process of frequency response function in the traditional load identification method by introducing a filter operator. By combining the inverse pseudoexcitation method and the improved regularization method, the identification of the load dependent on the vibration signal was realized. A single pick cutting rock test equipment was built, which could simulate the actual working conditions of pick cutting rock in the underground or tunnel. By changing cutting speed, cutting angle, cutting spacing, and cutting depth of the single pick, the change trends of real cutting load and identification load were obtained. The load identification method proposed in this paper was consistent with the change trend of the real load under the single pick cutting state. Therefore, the method had good recognition accuracy and the maximum load recognition error was 17.35%. Compared with other traditional load identification methods, the identification error was reduced by a maximum of 1.98%. This method can identify the cutting load of single pick and modify the morbidity problem of frequency response function matrix. The method has a better recognition effect on the cutting load of the pick than the traditional recognition methods. The research could benefit the design of the cutting system and the arrangement of the pick on the coal mine or tunneling machinery.http://dx.doi.org/10.1155/2021/9994569 |
| spellingShingle | Lei Dong Siyu Zhai Bukang Wang Liang Dong Junyuan Wang Ruimin Shi Single Pick Cutting Rock Load Identification Based on Improved Regularization Method Shock and Vibration |
| title | Single Pick Cutting Rock Load Identification Based on Improved Regularization Method |
| title_full | Single Pick Cutting Rock Load Identification Based on Improved Regularization Method |
| title_fullStr | Single Pick Cutting Rock Load Identification Based on Improved Regularization Method |
| title_full_unstemmed | Single Pick Cutting Rock Load Identification Based on Improved Regularization Method |
| title_short | Single Pick Cutting Rock Load Identification Based on Improved Regularization Method |
| title_sort | single pick cutting rock load identification based on improved regularization method |
| url | http://dx.doi.org/10.1155/2021/9994569 |
| work_keys_str_mv | AT leidong singlepickcuttingrockloadidentificationbasedonimprovedregularizationmethod AT siyuzhai singlepickcuttingrockloadidentificationbasedonimprovedregularizationmethod AT bukangwang singlepickcuttingrockloadidentificationbasedonimprovedregularizationmethod AT liangdong singlepickcuttingrockloadidentificationbasedonimprovedregularizationmethod AT junyuanwang singlepickcuttingrockloadidentificationbasedonimprovedregularizationmethod AT ruiminshi singlepickcuttingrockloadidentificationbasedonimprovedregularizationmethod |