Lightweight Long Short-Term Memory Variational Auto-Encoder for Multivariate Time Series Anomaly Detection in Industrial Control Systems

Daniel Fährmann, Naser Damer, Florian Kirchbuchner, Arjan Kuijper. Lightweight Long Short-Term Memory Variational Auto-Encoder for Multivariate Time Series Anomaly Detection in Industrial Control Systems. Sensors, 22(8):2886, 2022. [doi]

@article{FahrmannDKK22,
  title = {Lightweight Long Short-Term Memory Variational Auto-Encoder for Multivariate Time Series Anomaly Detection in Industrial Control Systems},
  author = {Daniel Fährmann and Naser Damer and Florian Kirchbuchner and Arjan Kuijper},
  year = {2022},
  doi = {10.3390/s22082886},
  url = {https://doi.org/10.3390/s22082886},
  researchr = {https://researchr.org/publication/FahrmannDKK22},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {22},
  number = {8},
  pages = {2886},
}