Application of ML to Detection of Anomalies in Spacecraft Health and Status Data

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We are collaborating with the Magnetospheric Multiscale (MMS) mission to research Machine Learning (ML) techniques capable of predicting and detecting anomalies in spacecraft health and status data. We are combining historical MMS telemetry data, with known mission events and anomalies, to perform unsupervised ML techniques. We have primarily used Temporal Convolutional Networks (TCN) as they preserve the temporal nature of our data while detecting long term and short term trends in the data.