Time Series Analysis Methods and Applications for Flight Data

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Time Series Analysis Methods and Applications for Flight Data

Authors: Zhang, Jianye, Zhang, Peng

• The first book available on both the theories of flight data and its application
  

• 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.

Table of contents [size=1.3](6 chapters)

• Introduction

  Zhang, Jianye (et al.)

  Pages 1-17

• Preprocessing of Flight Data

  Zhang, Jianye (et al.)

  Pages 19-63

• Typical Time Series Analysis of Flight Data Based on ARMA Model

  Zhang, Jianye (et al.)

  Pages 65-85

• Similarity Search for Flight Data

  Zhang, Jianye (et al.)

  Pages 87-151

• Condition Monitoring and Trend Prediction Based on Flight Data

  Zhang, Jianye (et al.)

• Time Series Analysis Methods and Applications for Flight Data.pdf (8.78 MB, 需要: 10 个论坛币)

  2017-1-10 16:07:15 上传

  
  需要: 10 个论坛币  [购买]
  
  

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Time Series Analysis Methods and Applications for Flight Data