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Abstract

Research findings indicate that the amount, accuracy, and type of data collected from airborne FDRS can hardly meet the requirements for further application and development of flight data. Therefore, it is necessary and fundamental to preprocess original flight data. The level of accuracy and reliability of preprocessing results will have a direct bearing on the quality of follow-on research. This chapter covers outlier elimination, data filling, data extension, reduction of monitorable parameters and chaotic property analysis.

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Correspondence to Jianye Zhang .

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© 2017 National Defense Industry Press and Springer-Verlag Berlin Heidelberg

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Zhang, J., Zhang, P. (2017). Preprocessing of Flight Data. In: Time Series Analysis Methods and Applications for Flight Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53430-4_2

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  • DOI: https://doi.org/10.1007/978-3-662-53430-4_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-53428-1

  • Online ISBN: 978-3-662-53430-4

  • eBook Packages: EngineeringEngineering (R0)

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