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Time Series Analysis Methods and Applications for Flight Data

  • Book
  • © 2017

Overview

Authors:
  1. Jianye Zhang

    1. Air Force Engineering University, Xi’an, China

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    You can also search for this author in PubMed   Google Scholar

  2. Peng Zhang

    1. Air Force Engineering University, Xi’an, China

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    You can also search for this author in PubMed   Google Scholar

  • 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 flight data
  • Provides several examples of engineering applications
  • Includes supplementary material: sn.pub/extras

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-x
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  2. Introduction

    • Jianye Zhang, Peng Zhang
    Pages 1-17

  3. Preprocessing of Flight Data

    • Jianye Zhang, Peng Zhang
    Pages 19-63

  4. Typical Time Series Analysis of Flight Data Based on ARMA Model

    • Jianye Zhang, Peng Zhang
    Pages 65-85

  5. Similarity Search for Flight Data

    • Jianye Zhang, Peng Zhang
    Pages 87-151

  6. Condition Monitoring and Trend Prediction Based on Flight Data

    • Jianye Zhang, Peng Zhang
    Pages 153-213

  7. Design and Implementation of Flight Data Mining System

    • Jianye Zhang, Peng Zhang
    Pages 215-231

  8. Back Matter

    Pages 233-240
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Keywords

About this book

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.

Authors and Affiliations

  • Air Force Engineering University, Xi’an, China

    Jianye Zhang, Peng Zhang

Bibliographic Information

  • Book Title: Time Series Analysis Methods and Applications for Flight Data

  • Authors: Jianye Zhang, Peng Zhang

  • DOI: https://doi.org/10.1007/978-3-662-53430-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: National Defense Industry Press and Springer-Verlag Berlin Heidelberg 2017

  • Hardcover ISBN: 978-3-662-53428-1Published: 05 January 2017

  • Softcover ISBN: 978-3-662-57136-1Published: 07 July 2018

  • eBook ISBN: 978-3-662-53430-4Published: 22 December 2016

  • Edition Number: 1

  • Number of Pages: X, 240

  • Number of Illustrations: 126 b/w illustrations, 35 illustrations in colour

  • Additional Information: translation from Chinese, Jointly published with National Defense Industry Press, Beijing, China

  • Topics: Aerospace Technology and Astronautics, Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence

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