Vibration Monitoring of Stay Cables Using Image Making and Pattern Recognition
|
|
|||||||||||
Bibliografische Angaben
| Autor(en): |
Jongchil Park
Heungbae Gil Chanmin Park Byungwan Jo |
||||
|---|---|---|---|---|---|
| Medium: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Symposium: Sustainable Infrastructure - Environment Friendly, Safe and Resource Efficient, Bangkok, Thailand, 9-11 September 2009 | ||||
| Veröffentlicht in: | IABSE Symposium Bangkok 2009 | ||||
|
|||||
| Seite(n): | 130-137 | ||||
| Anzahl der Seiten (im PDF): | 8 | ||||
| Jahr: | 2009 | ||||
| DOI: | 10.2749/222137809796088602 | ||||
| Abstrakt: |
The statistically processed results are sometimes not intuitive for the structural health monitoring systems of cable-stayed bridges which process voluminous data from a lot of sensors. For this reason, the signals-image recognition algorithm using images more intuitive than numerical values is presented in this study. The signals-image here means not a photograph taken by any camera but the artificial image which consists of measured signals and their process results. It is applied to extract the features from signals and identify the cable vibrations. Consequently, identifying and classifying signals-images have been successfully performed. |
||||
| Stichwörter: |
Schrägseilbrücke
|
||||