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Article Dans Une Revue Mechanical Systems and Signal Processing Année : 2019

Blade vibration study by spectral analysis of tip-timing signals with OMP algorithm

José Picheral
Elisabeth Lahalle
Gilles Chardon
Agathe Vercoutter
  • Fonction : Auteur
Arnaud Talon
  • Fonction : Auteur

Résumé

Blades vibrations must be measured in operations to validate blade design. Tip-timing is one of the classical measurement methods but its main drawback is the generation of sub-sampled and non-uniform sampled signals. Consequently tip-timing signals cannot be processed with conventional methods. Assuming that blade vibration signals yield to line spectra, we introduced a sparse signal model that uses speed variation of the engine. The usual solutions of inverse problems are given with the LASSO method. This paper presents a new approach based on a ℓ 0-regularization. It is solved with the OMP algorithm adapted to our model. Results from synthetic and real signals are presented to illustrate the efficiency of this method, including a real blade crack test case. The main advantages of the proposed method are to provide accurate estimations with a computational cost drastically reduced with respect to existing methods. Besides, the method does not need to set up regularization parameters while taking into account the speed variation of the engines. Finally, results show that this approach greatly reduces frequency aliasings caused by the low sampling frequency of the measured signals.
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Dates et versions

hal-02125263 , version 1 (10-05-2019)

Identifiants

Citer

Antoine Bouchain, José Picheral, Elisabeth Lahalle, Gilles Chardon, Agathe Vercoutter, et al.. Blade vibration study by spectral analysis of tip-timing signals with OMP algorithm. Mechanical Systems and Signal Processing, 2019, 130, pp.108-121. ⟨10.1016/j.ymssp.2019.04.063⟩. ⟨hal-02125263⟩
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