Time Series Analysis Methods and Applications for Flight Data
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 applicat
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me Series Analysis Methods and Applications for Flight Data
Time Series Analysis Methods and Applications for Flight Data
Jianye Zhang Peng Zhang •
Time Series Analysis Methods and Applications for Flight Data
123
Peng Zhang Air Force Engineering University Xi’an, Shaanxi China
Jianye Zhang Air Force Engineering University Xi’an, Shaanxi China
ISBN 978-3-662-53428-1 DOI 10.1007/978-3-662-53430-4
ISBN 978-3-662-53430-4
(eBook)
Translated from Chinese Jointly published with National Defense Industry Press, Beijing, China Library of Congress Control Number: 2016951706 © National Defense Industry Press and Springer-Verlag Berlin Heidelberg 2017 This work is subject to copyright. All rights are reserved by the Publishers, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publishers, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publishers nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer-Verlag GmbH Germany The registered company address is: Heidelberger Platz 3, 14197 Berlin, Germany
Preface
Flight data automatically recorded and saved by FDRS in aircraft flight and maintenance is a typical type of time series. The flight data of this type is a recording of the operation states of the aircraft and its subsystems, as well as the change trends of aircraft performance. More importantly, the accumulation of the data along with time will produce massive data that can be used as a source of authentic onboard evidence of aircraft performance and condition. Understandably, it can also be used as a predicator of operation condition of aircraft systems for the early warning of a possible malfunction. Therefore, effective use of the flight data, an area that has recently attracted much research effort, provides a reliable basis for on-condition maintenance, quality control, flight safety assessment, and air accident investigation as well. While the development of science and technology benefits the world in the information age, there is also an increasing conflict between data redundancy and lack of knowledge. Information mining out of massive data on the on
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