Application of Rare Event Anticipation Techniques to Aircraft Health Management

Stephane Alestra; Cristophe Bordry; Cristophe Brand; Evgeny Burnaev; Pavel Erofeev; Artem Papanov; Cassiano Silveira-Freixo

doi:10.4028/www.scientific.net/AMR.1016.413

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1016Application of Rare Event Anticipation Techniques...

Application of Rare Event Anticipation Techniques to Aircraft Health Management

Abstract:

Generally faults in complex technical systems (such as aircrafts) can be considered as rare events. In this paper we apply classification techniques to problem of rare events anticipation and demon-strate the approach to predictive maintenance of aircrafts through the real-world test cases from aircraft operations based on the data granted by AIRBUS.

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Periodical:

Advanced Materials Research (Volume 1016)

Pages:

413-417

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1016.413

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Online since:

August 2014

Authors:

Stephane Alestra*, Cristophe Bordry, Cristophe Brand, Evgeny Burnaev, Pavel Erofeev, Artem Papanov, Cassiano Silveira-Freixo

Keywords:

Aircraft Health Management, Predictive Maintenance (PdM), Rare Event Anticipation

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References

[1] Stascavage J. Bringing the power of the US Navy to condition-based maintenance. Marine Main- tenance Technology International, (2012).

Google Scholar

[2] Tremblay M., Pater R., Zavoda F., Valiquette D. and Simard G. Accurate Fault-Location Technique based on Distributed Power-Quality Measurements. 19th International Conference on Electricity Distribution, (2007).

Google Scholar

[3] Bashir N. and Ahmad H. A Neural Network Based Method for the Diagnosis of Aging Insulators. IEEE Symposium on Industrial Electronics and Applications (ISIEA), (2009).

DOI: 10.1109/isiea.2009.5356499

Google Scholar

[4] Basseville M. and Nikiforov I.V. Detection of Abrupt Changes: Theory and Application. Prentice- Hall, Inc., Upper Saddle River, NJ, USA (1993).

Google Scholar

[5] He H. and Garcia E.A. Learning from Imbalanced Data. IEEE Transactions on Knowledge and Data Engineering, vol. 21 no. 9 (2009).

Google Scholar

[6] Bernstein A., Burnaev E. and Erofeev P. Manifold Reconstruction in Dimension Reduction Prob- lem. Proceedings of the 9th International Conference Intelligent Information Processing, (2012).

Google Scholar

[7] King G. and Langche Z. Logistic Regression in Rare Events Data. Political Analysis 9, p.137–163 (2001).

Google Scholar