Advertisement

A Curve Fitting Method for Evaluating Pilot Operation Quality

  • Li TongEmail author
  • Chi Ying
  • Wu Qian
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 691)

Abstract

Wind, turbulence, and other environmental interference can affect pilot flight operation quality. Especially in areas where wind is reported all year round, or where seasonal winds obviously change (like in some highlands). Serious situation will interfere with flight landing or taking off. The quality of pilot efforts in reactions to these air flow interference can be assessed. We proposed a curve fitting method that can quantify how stable the pilots control the flights. This method defines the best/perfect flight routes through controlling spline control points in different ways in curve fitting, and then computes the error score according to the difference between actual flight routes and these perfect routes curve fitting found.

Keywords

Curve fitting B-Spline Control points Flight safety Pilot operation quality Non-linear Regression 

References

  1. 1.
    China civil aviation flight standard office. The implementation and management of FOQA (flight operational quality assurance). AC – 121/135 – FS – 2012 – 45Google Scholar
  2. 2.
    European strategic safety & analysis unit safety regulation group civil aviation authority. CAP 739 flight data monitoring regulatory operation manual (2003). ISBN:086039. www.caa.co.uk/publications
  3. 3.
    FAA (American Federal aviation administration). Consultant report. AC No. 120-82 (2004)Google Scholar
  4. 4.
    International civil aviation organization. Manual on flight data analysis programmes (FDAP). Doc 10000 AN/501 (2014). ISBN:978-92-9249-416-2Google Scholar
  5. 5.
    Harvey, J.M., Lennart, A.R.: Fitting curves to data using nonlinear regression: a practical and nonmathematical review. FASEB J. 1(5), 365–374 (1987)Google Scholar
  6. 6.
    Guest, P.G.: Numerical Methods of Curve Fitting. Cambridge University Press, Cambridge (2004)zbMATHGoogle Scholar
  7. 7.
    Lancaster, P., Salkauskas, K.: Curve and Surface Fitting. An Introduction. Academic Press, London (1986)zbMATHGoogle Scholar
  8. 8.
    Lu, J., Liu, H., Cao, J.: Numerical simulation of local circulation over the Cangshan Mountain-Eihai Lake area in Dali. Chin. J. Atmos. Sci. 28(6), 1198–1210 (2014)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Civil Aviation Management Institute of ChinaBeijingChina
  2. 2.Siemens Healthcare Technology CenterPrincetonUSA

Personalised recommendations