Robust Anomaly Detection for Multivariate Data of Spacecraft Through Recurrent Neural Networks and Extreme Value Theory

Robust Anomaly Detection for Multivariate Data of Spacecraft Through Recurrent Neural Networks and Extreme Value Theory

Spacecraft anomaly detection which could find anomalies in the telemetry or test data in advance and avoid the occurrence of catastrophic failures after taking corresponding measures has elicited the attention of researchers both in academia and aerospace industry. Current spacecraft anomaly detecti...

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Bibliographic Details
Main Authors: Gang Xiang, Ruishi Lin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Anomaly detection
GRU
extreme value theory
RNN
spacecraft
Online Access:https://ieeexplore.ieee.org/document/9656170/

Internet

https://ieeexplore.ieee.org/document/9656170/

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