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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Detaylı Bibliyografya
Asıl Yazarlar: Zhang, Jianye (Yazar), Zhang, Peng (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Konular:
Aerospace engineering.
Astronautics.
Computational intelligence.
Data mining.
Artificial intelligence.
Aerospace Technology and Astronautics.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:X, 240 p. 161 illus., 35 illus. in color. online resource.
ISBN:9783662534304
DOI:10.1007/978-3-662-53430-4

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