Combining OC-SVMs With LSTM for Detecting Anomalies in Telemetry Data With Irregular Intervals

Combining OC-SVMs With LSTM for Detecting Anomalies in Telemetry Data With Irregular Intervals

To ensure the safety and stability of spacecrafts of which thousands of telemetry parameters are monitored, fast and accurate response to anomalies or potential hazards is very important and challenging. This task becomes more difficult when the obtained telemetry data are sampled at irregular inter...

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Bibliographic Details
Main Authors: Junfeng Wu, Li Yao, Bin Liu, Zheyuan Ding, Lei Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Spacecrafts
irregular intervals
one-class support vector machine
long short-term memory network
anomaly detection
integration
Online Access:https://ieeexplore.ieee.org/document/9110828/

Internet

https://ieeexplore.ieee.org/document/9110828/

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