A data recovery method for extra-long-span railway bridge health monitoring based on TVFEMD and CNN-GRU
Changshun Hao,
Baodong Liu,
Yan Li
et al.
Abstract:Structure health monitoring (SHM) systems play a crucial role in understanding the condition of structures. However, owing to various uncertain factors, sensor data may be missing, which poses a great challenge to capture the real-time dynamic characteristics of the bridge. To address this problem, this paper proposes a model that integrates time varying filtering based empirical mode decomposition (TVFEMD), convolutional neural network (CNN), and gated recurrent unit (GRU) to forecast and fill in the missing … Show more
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