Deep learning for structural health monitoring: An application to heritage structures. (arXiv:2211.10351v1 [eess.SP])

Thanks to recent advancements in numerical methods, computer power, and
monitoring technology, seismic ambient noise provides precious information
about the structural behavior of old buildings. The measurement of the
vibrations produced by anthropic and environmental sources and their use for
dynamic identification and structural health monitoring of buildings initiated
an emerging, cross-disciplinary field engaging seismologists, engineers,
mathematicians, and computer scientists. In this work, we employ recent deep
learning techniques for time-series forecasting to inspect and detect anomalies
in the large …

application arxiv deep learning health heritage monitoring