| 书目名称 | Time Series Analysis Methods and Applications for Flight Data | | 编辑 | Jianye Zhang,Peng Zhang | | 视频video | | | 概述 | The first book available on both the theories of flight data and its application.Constructs a theoretical system of time series analysis based on flight data.Explores data mining methods for massive f | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2017 | | 关键词 | Aviation management; Data analysis; Data mining; Flight Data; Time series | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-53430-4 | | isbn_softcover | 978-3-662-57136-1 | | isbn_ebook | 978-3-662-53430-4 | | copyright | National Defense Industry Press and Springer-Verlag Berlin Heidelberg 2017 |
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发表于 2025-3-21 18:37:58
