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Detecting anomalies in satellite telemetry, with CNES

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CNES entrusts Ezako with the detection of anomalies in satellite telemetry by machine learning, alongside its conventional surveillance methods.

Four telemetry channels, with an anomaly boxed on one of them.

CNES, the French space agency, designs, develops and operates space systems. In 2020 it entrusted Ezako with the detection of anomalies in satellite telemetry.

Ezako models the telemetry with machine learning in Upalgo. The detection works alongside the conventional surveillance methods, which it does not replace.