Overview
- Explores the main concepts, algorithms, and techniques of machine learning and data mining for aerospace technology
- Provides essential information on data mining and machine learning for satellite monitoring
- Presents an experimental implementation of telemetry data processing to identify hidden events using various data mining techniques
Part of the book series: Studies in Computational Intelligence (SCI, volume 836)
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About this book
This book is divided into three parts, the first of which discusses central problems in the health monitoring of artificial satellites, including tensor-based anomaly detection for satellite telemetry data and machine learning in satellite monitoring, as well as the design, implementation, and validation of satellite simulators. The second part addresses telemetry data analytics and mining problems, while the last part focuses on security issues in telemetry data.
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Keywords
Table of contents (11 chapters)
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Health Monitoring of Artificial Satellites
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Telemetry Data Analytics and Applications
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Security Issues in Telemetry Data
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Data Mining in Aerospace Technology
Editors: Aboul Ella Hassanien, Ashraf Darwish, Hesham El-Askary
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-20212-5
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-20211-8Published: 16 July 2019
Softcover ISBN: 978-3-030-20214-9Published: 14 August 2020
eBook ISBN: 978-3-030-20212-5Published: 02 July 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VIII, 232
Number of Illustrations: 35 b/w illustrations, 62 illustrations in colour
Topics: Computational Intelligence, Aerospace Technology and Astronautics, Artificial Intelligence
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications