Time Series Analysis Methods and Applications for Flight Data

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Aeronautics & Astronautics
Cover of the book Time Series Analysis Methods and Applications for Flight Data by Jianye Zhang, Peng Zhang, Springer Berlin Heidelberg
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Author: Jianye Zhang, Peng Zhang ISBN: 9783662534304
Publisher: Springer Berlin Heidelberg Publication: December 22, 2016
Imprint: Springer Language: English
Author: Jianye Zhang, Peng Zhang
ISBN: 9783662534304
Publisher: Springer Berlin Heidelberg
Publication: December 22, 2016
Imprint: Springer
Language: English

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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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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