Time Series Analysis Methods and Applications for Flight Data - Softcover

Zhang, Jianye; Zhang, Peng

 
9783662571361: Time Series Analysis Methods and Applications for Flight Data

Synopsis

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.

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From the Back Cover

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.

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9783662534281: Time Series Analysis Methods and Applications for Flight Data

Featured Edition

ISBN 10:  3662534282 ISBN 13:  9783662534281
Publisher: Springer, 2017
Hardcover