Open AccessEnhanced Telemetry Monitoring with Novelty Detection
Author(s) -
Heras José Martínez,
Donati Alessandro
Publication year - 2014
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v35i4.2553
Subject(s) - telemetry , novelty detection , anomaly detection , alarm , computer science , false alarm , limit (mathematics) , novelty , real time computing , data mining , engineering , artificial intelligence , electrical engineering , telecommunications , mathematics , mathematical analysis , philosophy , theology
Typically, automatic telemetry monitoring in space operations is performed by out‐of‐limits (OOL) alarms. This approach consists of defining an upper and lower threshold so that when a measurement goes above the upper limit or below the lower one, an alarm is triggered. We discuss the limitations of the out‐of‐limits approach and propose a new monitoring paradigm based on novelty detection. The proposed monitoring approach can detect novel behaviors, which are often signatures of anomalies, very early — allowing engineers in some cases to react before the anomaly develops. A prototype implementing this monitoring approach has been implemented and applied to several ESA missions. The operational assessment from the XMM‐Newton operations team is presented.