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Towards Automated Flight-Maneuver-Specific Fatigue Analysis

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ICAF 2009, Bridging the Gap between Theory and Operational Practice

Structural health monitoring of aircraft is a necessary topic especially with aging fleets. In general, it means tracking the structural integrity and keeping the risk of missing the detection of hazardous cracks low. Traditionally the fatigue analyses from the collected data have been carried out in a flight-by-flight basis. However, simultaneous good-quality recordings of the most relevant flight parameters with the calculated fatigue damage synchronized with the recordings enable more thorough analysis. Using an adequate collection of time stamped flight parameter signals, this paper aims at analyzing actions inside flight missions. We introduce a procedure for flight maneuver identification which allows maneuver-specific fatigue assessment when time-stamped fatigue information is available. The presented damage distributions for F-18 aircraft demonstrate the new ability to consider the influence of various maneuvers on the fatigue of different structural details.

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References

  1. Duda, R., Hart, P., and Stork, D, (2001). Pattern classification, Second edition, Wiley, New York.

    MATH  Google Scholar 

  2. Jylhä, J., Vihonen, J., Ala-Kleemola, T., Kerminen, R., Tikka, J., and Visa, A. (2007). An article (“Modeling structural vibrations for automated aircraft fatigue monitoring”), in: Durability and Damage Tolerance of Aircraft Structures: Metals vs. Composites, Proceedings of the 24th ICAF Symposium, vol. II, pp. 1031–1042, Lazzeri, L. and Salvetti, A. (Eds.), Naples.

    Google Scholar 

  3. Han, J. and Kamber, M. (2006). Data mining: Concepts and techniques, Second edition, Morgan Kaufmann, San Francisco.

    Google Scholar 

  4. Harada, L. (2004). An article (“Detection of complex temporal patterns over data streams”), Information Systems, vol. 29, n. 6, pp. 439–459.

    Article  Google Scholar 

  5. Mitrovic, D. (2005). An article (“Reliable method for driving events recognition”), IEEE Transactions on Intelligent Transportation Systems, vol. 6, n. 2, pp. 198–205.

    Article  Google Scholar 

  6. Oza, N. C., Tumer, K., Tumer, I. Y., and Huff, E. M. (2003). An article (“Classification of Aircraft Maneuvers for Fault Detection”), in book: Multiple Classifier Systems, vol. 2709/2003, p. 160, Springer, Berlin.

    Google Scholar 

  7. RTO-TR-045 (2002). Design Loads for Future Aircraft, Sections 3.2.2– 3.2.4, RTO/NATO, France.

    Google Scholar 

  8. Ruotsalainen, M., Jylhä, J., Vihonen, J., and Visa, A. (2009). An article (“A novel algorithm for identifying patterns from multisensor time series”), in Proceedings of the 2009 World Congress on Computer Science and Information Engineering (CSIE 2009), IEEE, Los Angeles.

    Google Scholar 

  9. Siljander, A. (2007). A report (“A Review of aeronautical fatigue investigations in Finland May 2005 – April 2007 (A. Siljander, Ed.). Presented at the 30th Conference of the International Committee on Aeronautical Fatigue (ICAF), Naples, ICAF Doc. 2410.

    Google Scholar 

  10. Siljander, A. (2009). A report (“A Review of aeronautical fatigue investigations in Finland May 2007 – April 2009 (A. Siljander, Ed.). Presented at the 31st Conference of the International Committee on Aeronautical Fatigue (ICAF), Rotterdam, ICAF Doc. 2418.

    Google Scholar 

  11. Tikka, J. and Salonen, T. (2007). An article (“Parameter based fatigue life analysis for F-18 aircraft”), in: Durability and Damage Tolerance of Aircraft Structures: Metals vs. Composites, Proceedings of the 24th ICAF Symposium, vol. I, pp. 412–426, Lazzeri, L. and Salvetti, A. (Eds.), Naples.

    Google Scholar 

  12. Viitanen, T., Koski, K., Bäckström, M., Voutilainen, E., Lahtinen, R., and Siljander, A. (2005). An article (“The OLM database as a tool to sort particular data sets from a bulk of data”), in: Proceedings of the 23th ICAF Symposium, vol. II, pp. 513–540, EMAS Ltd., Hamburg.

    Google Scholar 

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Jylhä, J. et al. (2009). Towards Automated Flight-Maneuver-Specific Fatigue Analysis. In: Bos, M.J. (eds) ICAF 2009, Bridging the Gap between Theory and Operational Practice. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2746-7_61

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  • DOI: https://doi.org/10.1007/978-90-481-2746-7_61

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-2745-0

  • Online ISBN: 978-90-481-2746-7

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