What is it about?
A tensor decomposition-based method detects anomalies in satellite telemetry data and reduces the false-positive rate compared to the state of the art methods.
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Why is it important?
Satellite telemetry data is huge and currently, satellite operators have to manually find the malfunctions and anomalies. Therefore, we provide an automated method for anomaly detection without the need for a huge label dataset.
Perspectives
Writing this article was a great pleasure as it has co-authors with whom I have had long-standing collaborations.
Dr. Shahroz Tariq
CSIRO
Read the Original
This page is a summary of: ITAD, October 2020, ACM (Association for Computing Machinery),
DOI: 10.1145/3340531.3412716.
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