Satellite Power System Anomaly Detection based on Spatio-Temporal Uncertainty Fusion-Reference-Cited by-同舟云学术

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Satellite Power System Anomaly Detection based on Spatio-Temporal Uncertainty Fusion

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
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Author:

Wang Zhipeng¹,Gao Yanjiao²,Pang Jingyue³,Song Yuchen¹,Peng Yu¹

Affiliation:

1. Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China

2. Harbin University of Science and Technology,School of Measurement and Control Technology and Communication Engineering,Harbin,China

3. Chongqing Technology and Business University,School of Artificial Intelligence,Chongqing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10295546/10295577/10295724.pdf?arnumber=10295724

Reference22 articles.

1. NASA Platform for Autonomous Systems (NPAS)

2. Machine Learning Methods for Spacecraft Telemetry Mining

3. An Improved ARIMA-Based Traffic Anomaly Detection Algorithm for Wireless Sensor Networks

4. Anomaly Detection in Streaming Environmental Sensor Data: A Data-driven Modeling Approach [J];david;Environmental Modelling & Software,2010

5. Sequence to sequence learning with neural networks;sutskever;Advances in neural information processing systems,2014

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