Frequency enhanced vector quantized variational autoencoder for structural vibration response compression

•The frequency enhanced vector quantized variational autoencoder (FEVQVAE) is proposed for structural vibration response compression.•The proposed dual-branch block in both time and frequency domains enhances feature extraction, to some extent mitigating the challenge for neural networks to extract...

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Vydané v:	Mechanical systems and signal processing Ročník 224; s. 112136
Hlavní autori:	Xue, Zhilin, An, Yonghui, Ou, Jinping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.02.2025
Predmet:	Deep learning Structural health monitoring Vector quantized variational autoencoder Vibration response compression Deep learning Vector quantized variational autoencoder Vibration response compression Structural health monitoring
ISSN:	0888-3270
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