Development of a PHM system for electrically actuated brakes of a smallpassenger aircraft

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jun 27, 2024
Andrea De Martin Riccardo Achille Antonio Carlo Bertolino Giovanni Jacazio Massimo Sorli

Abstract

The evolution towards “more electric” aircraft has seen a decisive push in the last decade, due to the growing environmental concerns and the development of new market segments (Urban Air Mobility). Such push interested both the propulsion components and the aircraft systems, with the latter seeing a progressive trend in replacing the traditional solutions based on hydraulic power with electrical or electromechanical devices. Electro-mechanical brakes, or E-Brakes hereby onwards, would present several advantages over their hydraulic counterparts, mainly related to the avoidance of leakage issues and the simplification of the system architecture. Moreover, although it is expected a weight increase of the brake, the elimination of the hydraulic lanes would still come with an overall weight reduction. Despite these advantages, it remains a new, relatively unproven technology within the civil aviation field. Within this context, the development of PHM solutions would align with the need for an on-line monitoring of a relatively unproven component. This paper deals with the preliminary stages of the development of such PHM system for the E-Brake of a future executive class aircraft, iterating on previously published material and presenting a particle filtering approach based on a new degradation model and data provided through a revised high-fidelity model. The paper opens with the introduction to the research project and the technological demonstrator, positioning the performed work within the available literature. PHM activities, performed on simulated data-set are then presented and the preliminary results discussed.

How to Cite

Andrea De Martin, Achille, R., Bertolino, A. C., Jacazio, G., & Sorli, M. (2024). Development of a PHM system for electrically actuated brakes of a smallpassenger aircraft. PHM Society European Conference, 8(1), 12. https://doi.org/10.36001/phme.2024.v8i1.4002
Abstract 167 | PDF Downloads 116

##plugins.themes.bootstrap3.article.details##

Keywords

PHM, EMAs, Brake, Particle filter

References
Acuña, D. E., & Orchard, M. E. (2017). Particle-filteringbased failure prognosis via sigma-points: Application to Lithium-Ion battery State-of-Charge monitoring. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2016.08.029 Acuña, D. E., & Orchard, M. E. (2018). A theoretically rigorous approach to failure prognosis. Proceedings of the 10th Annual Conference of the Prognostics and Health Management Society 2018 (PHM18), Philadelphia, PA, September 24-27. Arulampalam, M. S., Maskell, S., Gordon, N., & Clapp, T. (2009). A Tutorial on Particle Filters for Online Nonlinear/NonGaussian Bayesian Tracking. In Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking. IEEE. https://doi.org/10.1109/9780470544198.ch73 Bertolino, A. C., De Martin, A., Jacazio, G., & Sorli, M. (2023). Sizing and control system definition of an intelligent facility for qualification tests and prognostic research activities for electrical landing gear systems. Materials Research Proceedings, 26, 219–224. https://doi.org/10.21741/9781644902431-36 Carbone, G., & Putignano, C. (2013). A novel methodology to predict sliding and rolling friction of viscoelastic materials: Theory and experiments. Journal of the Mechanics and Physics of Solids, 61(8), 1822–1834. https://doi.org/10.1016/j.jmps.2013.03.005 De Martin, A., Jacazio, G., Parisi, V., & Sorli, M. (2022). Prognosis of Wear Progression in Electrical Brakes for Aeronautical Applications. PHM Society European Conference, 7(1), 329–337. https://doi.org/10.36001/phme.2022.v7i1.3353 De Martin, A., Jacazio, G., Ruffinatto, A., & Sorli, M. (2022). A Novel Hydraulic Solution to Simulate Inertial Forces on a Landing Gear Qualification Test Rig. Proceedings of the ASME/BATH Symposium on Fluid Power and Motion Control, FPMC2022, 1–9. De Martin, A., Jacazio, G., & Sorli, M. (2022). Simulation of Runway Irregularities in a Novel Test Rig for Fully Electrical Landing Gear Systems. Aerospace, 9(2), 114. https://doi.org/10.3390/aerospace9020114 Giannella, V., Baglivo, G., Giordano, R., Sepe, R., & Citarella, R. (2022). Structural FEM Analyses of a Landing Gear Testing Machine. Metals, 12(6). https://doi.org/10.3390/met12060937 Grosso, L. A., De Martin, A., Jacazio, G., & Sorli, M. (2020). Development of data-driven PHM solutions for robot hemming in automotive production lines. International Journal of Prognostics and Health Management, 11, 1–13.
Section
Technical Papers