Integration of Refined Composite Multiscale Cross-Sample Entropy and Backpropagation Neural Networks for Structural Health Monitoring

This study developed a structural health monitoring (SHM) system based on refined composite multiscale cross-sample entropy (RCMCSE) and an artificial neural network for monitoring structures under ambient vibrations. RCMCSE was applied to enhance the reliability of entropy estimations. First, RCMCS...

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Hlavní autoři:	Tzu-Kang Lin, Yu-Ching Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-01-01
Edice:	Applied Sciences
Témata:	structural health monitoring artificial neural network multi-scale cross-sample entropy
On-line přístup:	https://www.mdpi.com/2076-3417/10/3/839
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