Time Series Analysis Methods and Applications for Flight Data
Published on 22. December 2016
X, 240 pages
978-3-662-53430-4 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
X, 240 p. 161 illus., 35 illus. in color.
File size
9,26 MB
ISBN-13
978-3-662-53430-4 (9783662534304)
DOI
10.1007/978-3-662-53430-4
Schweitzer Classification
Other editions
Additional editions
Jianye Zhang | Peng Zhang
Time Series Analysis Methods and Applications for Flight Data
Book
01/2017
Springer
€181.89
Shipment within 7-9 days
Content
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.
