Abstract
In this paper, we propose a novel Bridge Weight-In-Motion (B-WIM) detection method based on the bridge deck vibration signal analysis with the image mapping algorithm. The algorithm maps the vibration signals into 8-Bit grayscale images and then uses image sharpness to detect B-WIM in single-vehicle tests. The result shows that the proposed method can effectively estimate B-WIM.
Original language | English |
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Title of host publication | The 7th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems |
Publisher | IEEE |
Pages | 53-56 |
ISBN (Electronic) | 978-1-5386-0490-8 |
ISBN (Print) | 978-1-5386-0491-5 |
DOIs | |
Publication status | Published - Jul 2017 |
Externally published | Yes |
Event | 7th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017) - Sheraton Princess Kaiulani, Hawaii, United States Duration: 31 Jul 2017 → 4 Aug 2017 http://ieee-cyber.org/2017/ |
Publication series
Name | IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER |
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Conference
Conference | 7th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017) |
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Abbreviated title | IEEE-CYBER 2017 |
Country/Territory | United States |
City | Hawaii |
Period | 31/07/17 → 4/08/17 |
Internet address |
Research Keywords
- Bridge Weight-In-Motion
- image mapping
- vibration analysis