Data-Driven Structural Health Monitoring Using Feature Fusion and Hybrid Deep Learning

• Published in: IEEE transactions on automation science and engineering Vol. 18; no. 4; pp. 2087 - 2103
• Main Authors: Dang, Hung V., Tran-Ngoc, Hoa, Nguyen, Tung V., Bui-Tien, T., De Roeck, Guido, Nguyen, Huan X.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; Autoregressive models; Bridges; Case studies; Damage detection; Data models; Deep learning; deep learning (DL); Discrete Wavelet Transform; dynamic analysis; Feature extraction; Frequency domain analysis; Machine learning; Monitoring; Neural networks; Resonant frequencies; Sensors; Signal processing; Structural health monitoring; structural health monitoring (SHM); vibration; Vibration measurement; Wavelet transforms

Smart structural health monitoring (SHM) for large-scale infrastructure is an intriguing subject for engineering communities thanks to its significant advantages such as timely damage detection, optimal maintenance strategy, and reduced resource requirement. Yet, it is a challenging topic as it requ...