Supervised Distributed Multi-Instance and Unsupervised Single-Instance Autoencoder Machine Learning for Damage Diagnostics with High-Dimensional Data—A Hybrid Approach and Comparison Study
Structural health monitoring (SHM) is a promising technique for in-service inspection of technical structures in a broad field of applications in order to reduce maintenance efforts as well as the overall structural weight. SHM is basically an inverse problem deriving physical properties such as dam...
Main Authors: | Stefan Bosse, Dennis Weiss, Daniel Schmidt |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
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Series: | Computers |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-431X/10/3/34 |
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