Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning

no code implementations • 5 Jun 2020 • Jingxiao Liu, Mario Bergés, Jacobo Bielak, Hae Young Noh

Specifically, we train a deep network in an adversarial way to learn features that are 1) sensitive to damage and 2) invariant to different bridges.

Multi-Task Learning

Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring

no code implementations • 6 Feb 2020 • Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Berges, Jacobo Bielak, HaeYoung Noh

We introduce a physics-guided signal processing approach to extract a damage-sensitive and domain-invariant (DS & DI) feature from acceleration response data of a vehicle traveling over a bridge to assess bridge health.