A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Dear author:
Thanks for your work on anomaly detection and for providing the datasets!
I would like to have more information about the different sensors for the SMAP & MSL datasets. You stated "channel id: anonymized channel id - first letter represents nature of channel (P = power, R = radiation, etc.)". Could you explain the other letters as well?
Dear author: Thanks for your work on anomaly detection and for providing the datasets! I would like to have more information about the different sensors for the SMAP & MSL datasets. You stated "channel id: anonymized channel id - first letter represents nature of channel (P = power, R = radiation, etc.)". Could you explain the other letters as well?
Thanks a lot!