Issue 78

C. Vendittozzi et alii, Fracture and Structural Integrity, 78 (2026) 519-540; DOI: 10.3221/IGF-ESIS.78.30

[11] Thomas, J., Kishore, K., Rajanna, T.R. and Asokan, S. (2024). Load Estimation of Aircraft Landing Gears Using Fiber Bragg Grating Sensors, in: Raghunathan, V., Gupta, T.D. and Mukherjee, S. (Eds.), Advances in Fibers, Optical Sensors, Optical Communications and Networks, Springer Nature, Singapore, pp. 63–72. DOI: https://doi.org/10.1007/978-981-97-4884-6_7. [12] Iadicicco, A., Natale, D., Di Palma, P., Spinaci, F., Apicella, A. and Campopiano, S. (2019). Strain Monitoring of a Composite Drag Strut in Aircraft Landing Gear by Fiber Bragg Grating Sensors. Sensors, 19(10), 2239. DOI: https://doi.org/10.3390/s19102239 [13] Xue, W., Wang, D., Zhu, M., Li, J., Xu, H., Yang, L. and Wu, Z. (2025). Fiber Bragg Grating Based Load Monitoring for Carrier-Based Aircraft Main Landing Gear, Sensors, 25, 5559. DOI: https://doi.org/10.3390/s25175559. [14] Brindisi, A., Vendittozzi, C., Travascio, L., Di Palma, L., Ignarra, M., Fiorillo, V. and Concilio, A. (2021). A Preliminary Assessment of an FBG-Based Hard Landing Monitoring System. Photonics, 8(10), 450. DOI: https://doi.org/10.3390/photonics8100450 [15] Brindisi, A., Vendittozzi, C., Travascio, L., Belardo, M., Ignarra, M., Fiorillo, V. and Concilio, A. (2025). An FBG-Based Hard Landing Monitoring System: Assessment for Drops on Different Soils. Photonics, 12(3), 197. DOI: https://doi.org/10.3390/photonics12030197 [16] Vendittozzi, C., Brindisi, A., Concilio, A., Di Micco, E., Berto F., Natali, S., Tittoni, D., (2026)In-Flight Structural Sensing of Helicopter Landing Gear Using Fiber Bragg Grating, Procedia Structural Integrity, 79, pp. 449-456, DOI: https://doi.org/10.1016/j.prostr.2025.12.356 [17] Smith III, J.O. (2011). Spectral Audio Signal Processing, W3K Publishing, Stanford University. [18] Thomson, D.J. (1982). Spectrum estimation and harmonic analysis, Proceedings of the IEEE, 70, pp. 1055–1096. DOI: https://doi.org/10.1109/PROC.1982.12433. [19] Percival, D.B. and Walden, A.T. (1993). Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques, Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511622762. [20] Park, J., Lindberg, C.R. and Vernon III, F.L. (1987). Multitaper spectral analysis of high-frequency seismograms, Journal of Geophysical Research, 92, pp. 12675–12684. DOI: https://doi.org/10.1029/JB092iB12p12675. [21] Prieto, G.A., Parker, R.L., Thomson, D.J., Vernon III, F.L. and Graham, R.L. (2007). Reducing the bias of multitaper spectrum estimates, Geophysical Journal International, 171, pp. 1269–1281. DOI: https://doi.org/10.1111/j.1365-246X.2007.03592.x. [22] Aviyente, S. and Williams, W.J. (2006). Multitaper marginal time–frequency distributions, Signal Processing, 86, pp. 124–131. DOI: https://doi.org/10.1016/j.sigpro.2005.05.008 [23] Kim, S.-E., Behrangi, M., Ba, R., Brown, D.E., Brown, E.N. and Purdon, P. (2018). State-space multitaper time frequency analysis, Proceedings of the National Academy of Sciences of the United States of America, 115, pp. E5– E14. DOI: https://doi.org/10.1073/pnas.1702877115 [24] Sandsten, M. (2016). Time-Frequency Analysis of Time-Varying Signals and Non-Stationary Processes: An Introduction, Centre for Mathematical Sciences, Lund University. [25] Wei, M. and Mo, Z. (2025). Multi-reassignment method based on S-transform for time-frequency analysis of non stationary signal, IEEE Sensors Journal, 25, pp. 3110–3118. DOI: https://doi.org/10.1109/JSEN.2024.3506784. [26] Meignen, S., Oberlin, T. and McLaughlin, S. (2015). Time-frequency ridge analysis based on the reassignment vector, in: 2015 23rd European Signal Processing Conference (EUSIPCO), IEEE, Nice, France, pp. 2261–2265. DOI: https://doi.org/10.1109/EUSIPCO.2015.7362631 [27] Flandrin, P., Auger, F. and Chassande-Mottin, E. (2018). Time-frequency reassignment: from principles to algorithms, in: Dhane, T. and McLaughlin, S. (Eds.), Advanced Data Analytics in Health, Springer, Cham, pp. 1–31. DOI: https://doi.org/ DOI: https://doi.org/10.1201/9781315220017-5 [28] Bruni, V., Tartaglione, M. and Vitulano, D. (2019). A Fast and Robust Spectrogram Reassignment Method. Mathematics, 7(4), 358. DOI:https://doi.org/10.3390/math7040358 [29] Legros, Q. and Fourer, D. (2022). Time-Frequency Ridge Estimation of Multi-Component Signals using Sparse Modeling of Signal Innovation. ArXiv, abs/2212.11343. DOI: https://doi.org/10.48550/arXiv.2212.11343

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