Deep learning-based detection of structural damage using time-series data
Previously, it was nearly impossible to use raw time series sensory signals for structural health monitoring due to the inherent high dimensionality of measured data. However, recent developments in deep learning techniques have overcome the need of complex preprocessing in time series data. This st...
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Published in | Structure and infrastructure engineering Vol. 17; no. 11; pp. 1474 - 1493 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Taylor & Francis
11.10.2021
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Subjects | |
Online Access | Get full text |
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