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 |
|---|---|
| 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, Honolulu, United States Duration: 31 Jul 2017 → 4 Aug 2017 http://ieee-cyber.org/2017/ https://ieeexplore.ieee.org/xpl/conhome/8424837/proceeding |
Publication series
| Name | IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER |
|---|
Conference
| Conference | 7th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017) |
|---|---|
| Abbreviated title | IEEE-CYBER 2017 |
| Place | United States |
| City | Honolulu |
| Period | 31/07/17 → 4/08/17 |
| Internet address |
Research Keywords
- Bridge Weight-In-Motion
- image mapping
- vibration analysis
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