Discovering outliers in the Mars Express thermal power consumption patterns-Reference-Cited by-同舟云学术

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Discovering outliers in the Mars Express thermal power consumption patterns

Published:2021-07 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT)
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Author:

Petkovic Matej¹,Lucas Luke²,Stepisnik Tomaz¹,Panov Pance¹,Simidjievski Nikola¹,Kocev Dragi¹

Affiliation:

1. Bias Variance Labs,Ljubljana,Slovenia

2. LSE Space GmbH,Gilching,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9697402/9697407/09697666.pdf?arnumber=9697666

Reference23 articles.

1. Improving Spacecraft Health Monitoring with Automatic Anomaly Detection Techniques

2. Enhanced Telemetry Monitoring with Novelty Detection

3. A Data-Driven Health Monitoring Method for Satellite Housekeeping Data Based on Probabilistic Clustering and Dimensionality Reduction

4. Telemetry Fault-Detection Algorithms: Applications for Spacecraft Monitoring and Space Environment Sensing

5. Deep Generative Models-Based Anomaly Detection for Spacecraft Control Systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Anomaly Detection for Agile Satellite Attitude Control System Using Hybrid Deep-Learning Technique;Journal of Aerospace Information Systems;2023-09-03

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