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OverviewThis 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. Full Product DetailsAuthor: Jianye Zhang , Peng ZhangPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: Softcover reprint of the original 1st ed. 2017 Dimensions: Width: 15.50cm , Height: 1.30cm , Length: 23.50cm Weight: 0.454kg ISBN: 9783662571361ISBN 10: 3662571366 Pages: 240 Publication Date: 07 July 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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