Time Series Analysis Methods and Applications for Flight Data (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	2017
First published:	2017
Authors:	Jianye Zhang • Peng Zhang
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Hardcover
Pages:	240
Edition:	1st ed. 2017
ISBN-13:	978-3-662-53428-1
Categories:	Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Business & Economics > Industry & industrial studies > Transport industries > Aerospace & air transport industries > General Promotions
LSN:	3-662-53428-2
Barcode:	9783662534281

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