Parallel Generative Adversarial Imputation Network for Multivariate Missing Time-Series Reconstruction and Its Application to Aeroengines

The reconstruction and imputation of missing values in multivariate time series (MTS) are pressing issues in the field of industrial artificial intelligence. To address this problem, an end-to-end deep learning model called the “time-series generative adversarial imputation network (TSGAIN) with pre...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2023, Vol.72, p.1-16
Hauptverfasser:	Ma, Song, Xu, Zeng-Song, Sun, Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Aeronautics Aerospace engines Artificial intelligence Coders Convolution Correlation Generative adversarial networks Machine learning Modular systems Modules Multivariate analysis Propulsion systems Reconstruction Time series Transformers
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