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Machine Learning and Data Mining in Aerospace Technology

  • Aboul Ella Hassanien
  • Ashraf Darwish
  • Hesham El-Askary
Book

Part of the Studies in Computational Intelligence book series (SCI, volume 836)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Health Monitoring of Artificial Satellites

    1. Front Matter
      Pages 1-1
    2. Alaa H. Ramadan, Aboul Ella Hassanien, Hesham A. Hefny, Lamiaa F. Ibrahim
      Pages 3-16
    3. Sara Abdelghafar, Ashraf Darwish, Aboul Ella Hassanien
      Pages 65-78
    4. Kadry Ali Ezzat, Lamia Nabil Mahdy, Aboul Ella Hassanien, Ashraf Darwish
      Pages 79-103
  3. Telemetry Data Analytics and Applications

    1. Front Matter
      Pages 105-105
    2. Kamaljit I. Lakhtaria, Sailesh S. Iyer
      Pages 125-146
    3. Sara Abdelghafar, Ahmed Salama, Mohamed Yahia Edries, Ashraf Darwish, Aboul Ella Hassanien
      Pages 147-163
    4. Noureldin Laban, Bassam Abdellatif, Hala M. Ebied, Howida A. Shedeed, Mohamed F. Tolba
      Pages 165-186
  4. Security Issues in Telemetry Data

About this book

Introduction

This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the ‘eagle eyes’ that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites – which can determine satellites’ current status and predict their failure based on telemetry data – is one of the most important current issues in aerospace engineering.
 
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.

Keywords

Data Mining Machine Learning LEO satellites Telemetry Data Processing Satellite Monitoring Aerospace Engineering

Editors and affiliations

  • Aboul Ella Hassanien
    • 1
  • Ashraf Darwish
    • 2
  • Hesham El-Askary
    • 3
  1. 1.Faculty of Computers and Artificial Intelligence, Information Technology DepartmentCairo UniversityCairoEgypt
  2. 2.Faculty of ScienceHelwan UniversityCairoEgypt
  3. 3.Center of Excellence in Earth Systems Modeling and Observations, Schmid College of Science and TechnologyChapman UniversityOrangeUSA

Bibliographic information