Abstract
This paper aims at describing an industrial aerospace application that requires an abnormal situation detection and diagnosis. After detailing the industrial context and needs, it will focus on the problem of aircraft vibration detection and diagnosis associated with aero-elastic phenomena. The goal is (i) to estimate the duration and amplitude of the vibrations in order to compute a Condition Monitoring index to be communicated to the operating airline and to (ii) ease the vibration troubleshooting in order to facilitate the maintenance tasks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Brière, B., Favre, C., Traverse, P.: A family of fault-tolerant systems: electrical flight controls, from A320/330/340 to future military transport aircraft. Micoprocess. Microsyst. 19(2), 75–82 (1995)
Goupil, P.: AIRBUS state of the art and practices on FDI and FTC in flight control system. Control Eng. Pract. 19(6), 524–539 (2011)
Safi, S., Kelly, D., Archer, R.: Interaction between wear processes and limit cycle oscillations of a control surface with free-play non-linearity. Proc. Inst. Mech. Eng. Part G: J. Aerosp. Eng. 216(3), 143–153 (2002)
Kay, S.M.: Fundamentals of Statistical Signal Processing, Volume 2 Detection Theory. Prentice Hall, New Jersey (1998)
Van Trees, H.L.: Detection, Estimation, and Modulation theory. John Wiley & Sons, New Jersey (2004)
Urbano, S., Chaumette, E., Goupil, P., Tourneret, J-Y.: Aircraft Vibration Detection and Diagnosis for Predictive Maintenance using a GLR Test. In: Proceedings 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018, pp. 1030–1036. Warsaw, Poland, 29–31 August 2018 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Goupil, P. (2020). Vibration Detection and Diagnosis for Civil Aircraft Improved Maintenance. In: Szewczyk, R., Krejsa, J., Nowicki, M., Ostaszewska-Liżewska, A. (eds) Mechatronics 2019: Recent Advances Towards Industry 4.0. MECHATRONICS 2019. Advances in Intelligent Systems and Computing, vol 1044. Springer, Cham. https://doi.org/10.1007/978-3-030-29993-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-29993-4_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29992-7
Online ISBN: 978-3-030-29993-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)