Collective Anomalies Detection for Sensing Series of Spacecraft Telemetry with the Fusion of Probability Prediction and Markov Chain Model

Collective Anomalies Detection for Sensing Series of Spacecraft Telemetry with the Fusion of Probability Prediction and Markov Chain Model

Telemetry series, generally acquired from sensors, are the only basis for the ground management system to judge the working performance and health status of orbiting spacecraft. In particular, anomalies within telemetry can reflect sensor failure, transmission errors, and the major faults of the rel...

Full description

Bibliographic Details
Main Authors: Jingyue Pang, Datong Liu, Yu Peng, Xiyuan Peng
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sensors
Subjects:
telemetry series
collective anomalies
Markov chain
probability prediction
false positive
Gaussian process regression
relevance vector machine
Online Access:https://www.mdpi.com/1424-8220/19/3/722

Internet

https://www.mdpi.com/1424-8220/19/3/722

Similar Items