ADMOST: UAV Flight Data Anomaly Detection and Mitigation via Online Subspace Tracking-Reference-Cited by-同舟云学术

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ADMOST: UAV Flight Data Anomaly Detection and Mitigation via Online Subspace Tracking

Published:2019-04 Issue:4 Volume:68 Page:1035-1044
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

He Yongfu,Peng Yu,Wang Shaojun^ORCID,Liu Datong

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/8663460/08453641.pdf?arnumber=8453641

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2. Anomaly Detection and Trajectory Prediction Methods for Substation UAV;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11

3. Anomaly detection method for space payload parameters under telemetry command changes;Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023);2024-04-01

4. Data-driven multivariate regression-based anomaly detection and recovery of unmanned aerial vehicle flight data;Journal of Computational Design and Engineering;2024-03-06

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