Anomaly Detection in Satellite Telemetry Data Using a Sparse Feature-Based Method

Anomaly Detection in Satellite Telemetry Data Using a Sparse Feature-Based Method

Anomaly detection based on telemetry data is a major issue in satellite health monitoring which can identify unusual or unexpected events, helping to avoid serious accidents and ensure the safety and reliability of operations. In recent years, sparse representation techniques have received an increa...

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Bibliographic Details
Main Authors:	Jiahui He, Zhijun Cheng, Bo Guo
Format:	Article
Language:	English
Published:	MDPI AG 2022-08-01
Series:	Sensors
Subjects:	anomaly detection telemetry data sparse features OCSVM time series
Online Access:	https://www.mdpi.com/1424-8220/22/17/6358

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