Time-frequency informed stacked long short-term memory-based generative adversarial network for missing data imputation in sensor networks

To monitor the health condition of civil infrastructures, the continuous acquisition of high-quality sensor data is crucial. However, in harsh environments, data can be lost due to sensor faults, data acquisition system malfunctions, or communication errors. In this study, we propose a stacked long...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 155; S. 110973
Hauptverfasser:	Wang, Zixin, Kachireddy, Malleswari, Mondal, Tarutal Ghosh, Tang, Wen, Jahanshahi, Mohammad R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2025
Schlagworte:	Deep learning Generative adversarial network Long short-term memory Missing data imputation Structural health monitoring Time-frequency information Missing data imputation Deep learning Long short-term memory Time-frequency information Structural health monitoring Generative adversarial network
ISSN:	0952-1976
Online-Zugang:	Volltext
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