Impact time history reconstruction using dynamic weighted graph neural network under sensor fault situations
Structural Health Monitoring: An International Journal
Published online on January 31, 2025
Abstract
Structural Health Monitoring, Volume 25, Issue 3, Page 1890-1911, May 2026.
This article introduces a dynamic weighted graph neural network (DWGNN) for precise reconstruction of impact force time histories under both fault and nonfault conditions in sensor networks. The DWGNN model integrates a one-dimensional convolutional ...
This article introduces a dynamic weighted graph neural network (DWGNN) for precise reconstruction of impact force time histories under both fault and nonfault conditions in sensor networks. The DWGNN model integrates a one-dimensional convolutional ...