Time Series Analysis Methods and Applications for Flight Data

  • Jianye Zhang
  • Peng Zhang

Table of contents

  1. Front Matter
    Pages i-x
  2. Jianye Zhang, Peng Zhang
    Pages 1-17
  3. Jianye Zhang, Peng Zhang
    Pages 19-63
  4. Jianye Zhang, Peng Zhang
    Pages 87-151
  5. Jianye Zhang, Peng Zhang
    Pages 215-231
  6. Back Matter
    Pages 233-240

About this book

Introduction

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.

Keywords

Aviation management Data analysis Data mining Flight Data Time series

Authors and affiliations

  • Jianye Zhang
    • 1
  • Peng Zhang
    • 2
  1. 1.Air Force Engineering UniversityXi’anChina
  2. 2.Air Force Engineering UniversityXi’anChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-53430-4
  • Copyright Information National Defense Industry Press and Springer-Verlag Berlin Heidelberg 2017
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-53428-1
  • Online ISBN 978-3-662-53430-4
  • About this book
Industry Sectors
Automotive
Biotechnology
Electronics
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences