A Reliable Virtual Sensing Architecture With Zero Additional Deployment Costs for SHM Systems

Structural health monitoring (SHM) serves to safeguard the operational safety of building structures; however, the high cost of SHM nodes limits its large-scale applications. In this article, we propose a novel computational model that integrates the physical model of SHM sensing to generate "v...

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Veröffentlicht in:	IEEE sensors journal 2024-11, Vol.24 (22), p.38527-38539
Hauptverfasser:	Zhang, Chong, Lei, Ke, Shi, Xin, Wang, Yang, Wang, Ting, Wang, Xin, Zhou, Lihu, Zhang, Chuanhui, Zeng, Xingjie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Buildings Computational modeling Convolutional neural network (CNN) Costs Data models Data smoothing deep learning generative adversarial network (GAN) Generative adversarial networks Nodes Physical properties Predictive models Railway bridges Reliability sensor data processing Sensor systems Sensors Soft sensors Structural health monitoring structural health monitoring (SHM) Virtual sensors
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