Linear smoothing of FRF for aicraft engine vibration monitoring

Hazan, Aurélien;Verleysen, Michel;Cottrell, Marie;Lacaille, Jérôme
(2010) International Conference on Noise and vibration Engineering (ISMA 2010) — Location: Leuven (Belgium) (20.September.2010)

Files

176-LinearsmoothingofFRFforaicraftenginevibrationmonitoring.pdf
  • Restricted Access
  • Adobe PDF
  • 310.79 KB
Request a copy

Details

Authors
  • Hazan, AurélienUniversité Paris 1
    Author
  • Verleysen, MichelUCLouvain
    Author
  • Cottrell, MarieUniversité Paris 1
    Author
  • Lacaille, JérômeGroupe Safran
    Author
Abstract
The problem of aircraft engine condition monitoring based on vibration signals is addressed. To do so, we compare two estimators of the Frequency Response Function of an aircrat engine which input is its shaft angular position and which output is an accelerometric signal that measures vibrations. It is shown that this problem can be seen as a smoothing problem, and that linear kernel smoothing such as Gaussian Process Regression allows the computation of the FRF.
Affiliations

Citations

  • APA
  • Chicago
  • FWB

Hazan, A., Verleysen, M., Cottrell, M., & Lacaille, J. (2010). Linear smoothing of FRF for aicraft engine vibration monitoring. Proceedings of the International Conference on Noise and vibration Engineering (ISMA 2010), p. 2857-2868. https://hdl.handle.net/2078.5/253871