Time Series Analysis Methods and Applications for Flight Data. By Jianye Zhang and Peng Zhang. Springer: Berlin, Heidelberg, Germany, 2017; pp. 1–240; ISBN: 978-3-662-53430-4

Guinsly Mondésir

doi:10.3390/aerospace4030036

Abstract

This book [1] aims to present the best application for managing and clearly representing the massive amount of Flight Data (FD) that exists. [...]

Highlights

Introduction and Aim of the BookThis book [1] aims to present the best application for managing and clearly representing the massive amount of Flight Data (FD) that exists
They created a prototype that can deal with multi-parameters as well as analyze massive FD and output this complex analysis to present it informatively and engagingly
This book provides some resourceful information on how to analyze the information collected from a flight data recorder, a device that records different observations from the parameters of an aircraft

Summary

Introduction and Aim of the Book

This book [1] aims to present the best application for managing and clearly representing the massive amount of Flight Data (FD) that exists. As the characteristics of FD correspond to a typical time series, the authors present different methods of analyzing it

Outline of the Book

Criticism

Discussion and Further

Who Is This Book for