| Autor: |
Ki-Sung Son, Hyeong-Seop Jeon, Gyung-Sun Chae, Jae-Seok Park, Se-Oh Kim |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Nuclear Engineering and Technology, Vol 53, Iss 1, Pp 294-303 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1738-5733 |
| DOI: |
10.1016/j.net.2020.06.019 |
| Popis: |
Various types of sensors are used at industrial sites to measure vibration. With the increase in the diversity of vibration measurement methods, vibration monitoring methods using camera equipment have recently been introduced. However, owing to the physical limitations of the hardware, the measurement resolution is lower than that of conventional sensors, and real-time processing is difficult because of extensive image processing. As a result, most such methods in practice only monitor status trends. To address these disadvantages, a high-resolution vibration measurement method using image analysis of the edge region of the structure has been reported. While this method exhibits higher resolution than the existing vibration measurement technique using a camera, it requires significant amount of computation. In this study, a method is proposed for rapidly processing considerable amount of image data acquired from vision equipment, and measuring the vibration of structures with high resolution. The method is then verified through experiments. It was shown that the proposed method can fast measure vibrations of structures remotely. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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