Predictive Models for Transient Loads of Vertical Stabilizer of an Aircraft Using Canonical Correlation Analysis

Abstract:

The knowledge about loads of the structure occurring during aircraft operation, is one of the fundamental element of the so called damage tolerance approach to aircraft design. In the optimal case, such information could be available from a network of sensors, e.g. strain gauges, FBGs, deployed in the aircraft structure and measuring its local stress. However, systems of operational loads monitoring (OLM) are still not widely applied. Instead, what is available, is a set of flight parameters, which by the laws of inertia and aerodynamics should determine dominant part of loads, acting on a given element. In this paper, canonical correlation analysis (CCA) will be discussed as an useful method for selection of flight parameters proper for prediction of aircraft loads.

• Periodical: Solid State Phenomena (Volume 260)
• Pages: 235-240
• DOI: https://doi.org/10.4028/www.scientific.net/SSP.260.235
• Online since: July 2017
• Authors: Michal Dziendzikowski*, Wojciech Zielinski, Andrzej Leski
• Keywords: Canonical Correlation Analysis, Identification of Load, Loads Spectrum, Prediction of Loads

References

[1] C. Osgood. Fatigue Design - 2nd edition. Pergamon Press, (1982).

[2] C. Boller, W. J Staszewski. Aircraft structural health and usage monitoring. In W.J. Staszewski, C. Boller, Tomlinson G.R. (Eds. ), Health Monitoring of Aerospace Structures, John Wiley and Sons, Ltd, 2004, p.29–73.

DOI: 10.1002/0470092866.ch2

[3] M. Giglio, S. Klimaszewski, M. Kurdelski, A. Leski, A. Manes, C. Sbarufatti, M. Stefaniuk, G. Vallone, W. Zielinski, Model-Based Structural Integrity Assessment of Helicopter Fuselage During Harsh Landing. AHS Forum Proceedings CD 71 (2015).

DOI: 10.4050/jahs.61.042008

[4] T. Hastie, R. Tibshirani, J. Friedman: The Elements of Staistical Learning: Data Mining, Inference, and Prediction, second ed., Springer Science+Business Media, New York, (2009).