A novel parallel auto-encoder framework for multi-scale data in civil structural health monitoring
In this paper, damage detection/identification for a seven-storey steel structure is investigated via using the vibration signals and deep learning techniques. Vibration characteristics, such as natural frequencies and mode shapes are captured and utilized as input for a deep learning network while...
| Main Authors: | , , |
|---|---|
| Format: | Journal Article |
| Published: |
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/72290 |