Abstract
In small samples’ fault data information of air materiel, Kolmogorov–Smirnov (K–S) test method, using fault distribution on materiel fitting, finally selected two kinds of distribution, fitting high for prediction. Through the use of matlab inverse cumulative number of commands, for fault prediction, the results accord with the actual situation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wu X, Li YL, Hu QJ (2010) Mathematical statistics. National Defense University Press, Beijing, pp 102–121
Xie LH, Shang T (2012) SPSS statistical analysis and data mining. Electronics Industry Publishing House, Beijing, pp 148–149
Zhao JC, Zhu HY, Wang WX (2010) Aviation equipment and technical support logistics analysis. National Defense Industry Press, Beijing, pp 34–35
Dong ZJ (2008) Fault-based distribution strategy study IBA inventory of spare parts. Thesis, Dalian Maritime University
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, Z., Cui, G. (2014). Prediction of Air Materiel in Small Samples’ Fault. In: Wang, J. (eds) Proceedings of the First Symposium on Aviation Maintenance and Management-Volume II. Lecture Notes in Electrical Engineering, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54233-6_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-54233-6_21
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54232-9
Online ISBN: 978-3-642-54233-6
eBook Packages: EngineeringEngineering (R0)