Structural dynamic response synthesis: A transformer-based time-series GAN approach

Structural dynamic response synthesis: A transformer-based time-series GAN approach

This study introduces a novel Transformer-based Time-Series Generative Adversarial Network (TTS-GAN) for synthesizing structural dynamic responses, addressing the critical challenge of data scarcity in structural health monitoring (SHM). Unlike existing methods, TTS-GAN generates realistic multi-cha...

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Bibliographic Details
Main Authors: Sayed Ali Khodaei, Maryam Bitaraf
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Deep learning
Generative adversarial network (GAN)
Data augmentation
Structural health monitoring (SHM)
Synthetic dynamic responses
TTS-GAN
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025016196
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http://www.sciencedirect.com/science/article/pii/S2590123025016196

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