Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1609/aimag.v35i4.2553 | AI MAGAZINE |
Field | DocType | Volume |
Novelty detection,ALARM,Computer science,Simulation,Telemetry,Artificial intelligence | Journal | 35 |
Issue | ISSN | Citations |
4 | 0738-4602 | 1 |
PageRank | References | Authors |
0.37 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Antonio Martinez Heras | 1 | 1 | 0.37 |
| Alessandro Donati | 2 | 3 | 1.99 |