Vibration‐based structural condition assessment using convolution neural networks

Summary A novel vibration‐based structural health monitoring (SHM) approach that uses two‐dimensional deep convolution neural networks (CNN) is introduced. The CNN extracts the features from acceleration response histories and drastically reduces the dimension of response history to make damage stat...

Ausführliche Beschreibung