Spacecraft anomaly detection with attention temporal convolution networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08213-9.pdf
Reference38 articles.
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2. Chen J, Pi D, Wu Z, Zhao X, Pan Y, Zhang Q (2021) Imbalanced satellite telemetry data anomaly detection model based on bayesian lstm. Acta Astronautica 180:232–242
3. Jiang L, Xu H, Liu J, Shen X, Lu S, Shi Z (2022) Anomaly detection of industrial multi-sensor signals based on enhanced spatiotemporal features. Neural Comp Appl. https://doi.org/10.1007/s00521-022-07101-y
4. Wang Y, Wu Y, Yang Q, Zhang J (2021) Anomaly detection of spacecraft telemetry data using temporal convolution network. In: 2021 IEEE International instrumentation and measurement technology conference (I2MTC), IEEE, pp 1–5
5. Chalapathy R, Chawla S (2019) Deep learning for anomaly detection: a survey. arXiv preprint arXiv:1901.03407
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