Andreas Schwung

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges

Deep learning for time series forecasting: a survey

ITF-GAN: Synthetic time series dataset generation and manipulation by interpretable features

Bidirectional deep recurrent neural networks for process fault classification