Time series analysis methods and applications for flight data

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 fro...

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Bibliographic Details
Main Author: Zhang, Jianye.
Other Authors: Zhang, Peng.
Format: eBook
Language: English
Published: Berlin, Germany : Springer, 2017.
Subjects:
ISBN: 9783662534304
9783662534281
Physical Description: 1 online resource

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020 |a 9783662534304  |q (electronic bk.) 
020 |z 9783662534281 
024 7 |a 10.1007/978-3-662-53430-4  |2 doi 
035 |a (OCoLC)967262786  |z (OCoLC)967322467  |z (OCoLC)968303701  |z (OCoLC)974650726  |z (OCoLC)1005772503  |z (OCoLC)1011850037  |z (OCoLC)1048097519  |z (OCoLC)1058957322  |z (OCoLC)1066475065  |z (OCoLC)1086468066  |z (OCoLC)1112519394  |z (OCoLC)1112928627  |z (OCoLC)1113395946  |z (OCoLC)1117219978  |z (OCoLC)1122815789  |z (OCoLC)1127192926 
100 1 |a Zhang, Jianye. 
245 1 0 |a Time series analysis methods and applications for flight data /  |c Jianye Zhang, Peng Zhang. 
260 |a Berlin, Germany :  |b Springer,  |c 2017. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references. 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Time-series analysis. 
650 0 |a Data mining. 
650 0 |a Flight recorders. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Zhang, Peng. 
776 0 8 |i Print version:  |z 3662534282  |z 9783662534281  |w (OCoLC)956625964 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-662-53430-4  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99656  |d 99656