Detection of Bolt Looseness Based on Average Autocorrelation Function
Bolted connections are widely used in multiple engineering fields including aerospace and mechanical engineering due to their numerous advantages like the ability to bear relatively heavy loads, low costs, easy installation, and implementation. Bolt looseness may lead to costly disasters in industri...
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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/10.1155/2021/6662686 |
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| _version_ | 1832546882243526656 |
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| author | Jigang Wu Jun Shao Gen Zhou Deqiang Yang Yuan Cheng |
| author_facet | Jigang Wu Jun Shao Gen Zhou Deqiang Yang Yuan Cheng |
| author_sort | Jigang Wu |
| collection | DOAJ |
| description | Bolted connections are widely used in multiple engineering fields including aerospace and mechanical engineering due to their numerous advantages like the ability to bear relatively heavy loads, low costs, easy installation, and implementation. Bolt looseness may lead to costly disasters in industries and some cases of injuries. A new method for bolt looseness detection based on average autocorrelation function is proposed. It does not usually directly extract the looseness damage feature from the original response signal to detect the bolt looseness, but it uses the average autocorrelation function value at time lag T = 0 of the vibration pixel displacement signal to establish the looseness damage index. In terms of structural arrangement of this paper, firstly, the theoretical background of the proposed method is given. Then, an experimental system for bolt looseness detection based on computer vision is designed, and a verification experiment is carried out with the bolted connection plate as the experimental object. The results show that the proposed method can effectively obtain the location of the looseness damage of the bolted connection plate, which provides a new technical reference for the online monitoring of the looseness damage of bolted connection plate. |
| format | Article |
| id | doaj-art-7578638a0b16439dbbf9cfdc2e5e6457 |
| 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-7578638a0b16439dbbf9cfdc2e5e64572025-02-03T06:46:44ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/66626866662686Detection of Bolt Looseness Based on Average Autocorrelation FunctionJigang Wu0Jun Shao1Gen Zhou2Deqiang Yang3Yuan Cheng4Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, ChinaHunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, ChinaAECC Hunan South Astronautics Industry Co, Ltd., Zhuzhou 412002, ChinaHunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, ChinaHunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, ChinaBolted connections are widely used in multiple engineering fields including aerospace and mechanical engineering due to their numerous advantages like the ability to bear relatively heavy loads, low costs, easy installation, and implementation. Bolt looseness may lead to costly disasters in industries and some cases of injuries. A new method for bolt looseness detection based on average autocorrelation function is proposed. It does not usually directly extract the looseness damage feature from the original response signal to detect the bolt looseness, but it uses the average autocorrelation function value at time lag T = 0 of the vibration pixel displacement signal to establish the looseness damage index. In terms of structural arrangement of this paper, firstly, the theoretical background of the proposed method is given. Then, an experimental system for bolt looseness detection based on computer vision is designed, and a verification experiment is carried out with the bolted connection plate as the experimental object. The results show that the proposed method can effectively obtain the location of the looseness damage of the bolted connection plate, which provides a new technical reference for the online monitoring of the looseness damage of bolted connection plate.http://dx.doi.org/10.1155/2021/6662686 |
| spellingShingle | Jigang Wu Jun Shao Gen Zhou Deqiang Yang Yuan Cheng Detection of Bolt Looseness Based on Average Autocorrelation Function Shock and Vibration |
| title | Detection of Bolt Looseness Based on Average Autocorrelation Function |
| title_full | Detection of Bolt Looseness Based on Average Autocorrelation Function |
| title_fullStr | Detection of Bolt Looseness Based on Average Autocorrelation Function |
| title_full_unstemmed | Detection of Bolt Looseness Based on Average Autocorrelation Function |
| title_short | Detection of Bolt Looseness Based on Average Autocorrelation Function |
| title_sort | detection of bolt looseness based on average autocorrelation function |
| url | http://dx.doi.org/10.1155/2021/6662686 |
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