This repository contains implementation of unsupervised learning of anomaly detection of time series data using recurrent neural networks (LSTM, GRU) autoencoders in PyTorch.
Lawal, W. A., Kea, K., Han, Y., Young, J. M., & Kim, T. (2022). A deep learning approach to detect anomalies in an electric power steering system. Sensors, 22(22), 8981. doi:https://doi.org/10.3390/s22228981