Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juli 2019
Genre:	Naturwissensch., Medizin, Technik
	Aerospace & aviation technology / Aerospace engineering / Aerospace Technology and Astronautics / Artificial Intelligence / astronautics / Astronautik (Raumfahrttechnik) / B / Computational Intelligence / engineering / Luft- und Raumfahrttechnik mehr...
ISBN:	9783030202118
EAN-Code:	9783030202118
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#836 - Studies in Computational Intelligence
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	530 gr
Seiten:	232
Illustration:	VIII, 232 p. 97 illus., 62 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.