PSI - Issue 38

A. Cugniere et al. / Procedia Structural Integrity 38 (2022) 168–181 A. Cugniere, O. Tusch and A. Mösenbacher./ Structural Integrity Procedia 00 (2021) 000 – 000

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6. Conclusion A framework that would combine these two pipelines could drastically simplify and accelerate the certification process of aircraft structures. In addition, it could be extended to a broad range of industries where data-driven Structure Health Monitoring (SHM) is essential. IABG is currently closely involved in the development of such a framework. Part of this work was supported by:

This paper is an extended version of the VAL4 conference paper published under the name “Early detection of damages in aircraft structures using Machine Learning and FEM- based methods” [9]. References J. Schijve, „The accumulation of fatigue damage in aircraft materials and structures,“ Advisory Group for Aerospace Research & Development, 1972. M. Goldstein und U. Seiichi, „A comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data,“ P LoS ONE 11(4), 19 April 2016. Yufeng Kou, Chang-Tien Lu, S. Sirwongwattana und Yo- Ping Huang, „Survey of fraud detection techniques,“ IEEE International Conference on Networking, Sensing and Control, 2004. P.García-Teodoroa, J.Díaz-Verdejoa, G.Maciá- Fernándeza und E.Vázquezb, „Anomaly -based network intrusion detection: Techniques, systems and challenges,“ Computers & Security, Volume 28, Issues 1 -2, pp. 18-28, February-March 2009. A. Mennatallah und G. Markus, „Nearest - Neighbor and Clustering based Anomaly Detection Algorithms for RapidMiner“. B. Schölkopf, J. C. Platt, J. Shawe- Taylor, a. J. Smola und R. C. Williamson., „Estimating the support of a high - dimensional distribution,“ Neural Computation, 13(7):1443-71, July 2001. B. Schölkopf, R. C. Williamson, A. J.Smola, J. Shawe- Taylor und J. C. Platt, „Support vector method for novelty detection,“ Advances in Neural Information Processing Systems 12, (NIPS) Conf., pp. 582-588, November 1999. G. Zhang, „medium.com, What is the kernel trick? Why is it important?,“ 11 November 2018. [Online]. Available: https://medium.com/@zxr.nju/what-is-the-kernel-trick-why-is-it-important-98a98db0961d A. Cugniere, O. Tusch und A. Mösenbacher, „Early detection of damages in aircraft structures using Machine Learning and FEM -based methods,“ in VAL4, Fourth International Conference on Material and Component Performance under Variable Amplitude Loading, 20 20.

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