Time Series Analysis Methods and Applications for Flight Data

1. Auflage 2017
ISBN: 978-3-662-53428-1
Verlag: Springer

Buch, Englisch, 240 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 5029 g

This book focuses on different facets of flight data analysis, including the basic goals, methods, and implementation techniques. As mass flight data possesses the typical characteristics of time series, the time series analysis methods and their application for flight data have been illustrated from several aspects, such as data filtering, data extension, feature optimization, similarity search, trend monitoring, fault diagnosis, and parameter prediction, etc. An intelligent information-processing platform for flight data has been established to assist in aircraft condition monitoring, training evaluation and scientific maintenance. The book will serve as a reference resource for people working in aviation management and maintenance, as well as researchers and engineers in the fields of data analysis and data mining.

Zielgruppe

Research

Autoren/Hrsg.

Zhang, Peng

Zhang, Jianye

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr

Inhaltsverzeichnis

Introduction.- Preprocessing of Flight Data.- Typical Time Series Analysis for Flight Data.- Similarity Search for Flight Data.- Condition Monitoring and Trend Prediction Based on Flight Data.- Design and Implementation Of flight Data Mining System.