Time series analysis methods and applications for flight data / Jianye Zhang, Peng Zhang.
2017
QA280
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Details
Title
Time series analysis methods and applications for flight data / Jianye Zhang, Peng Zhang.
Author
Zhang, Jianye.
ISBN
9783662534304 (electronic book)
3662534304 (electronic book)
9783662534281
3662534282
3662534304 (electronic book)
9783662534281
3662534282
Publication Details
Berlin, Germany : Springer, 2017.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-662-53430-4 doi
Call Number
QA280
Dewey Decimal Classification
519.5/5
620
620
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Description based on print version record.
Added Author
Zhang, Peng.
Available in Other Form
Print version: 9783662534281
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Table of Contents
Introduction
Preprocessing of Flight Data
Typical Time Series Analysis for Flight Data
Similarity Search for Flight Data
Condition Monitoring and Trend Prediction Based on Flight Data
Design and Implementation Of flight Data Mining System.
Preprocessing of Flight Data
Typical Time Series Analysis for Flight Data
Similarity Search for Flight Data
Condition Monitoring and Trend Prediction Based on Flight Data
Design and Implementation Of flight Data Mining System.