Localization of non-stationary tonal sources through order-based beamforming

K Kottakota (1) , Jérôme Antoni (2) , Quentin Leclere (2) , S Bouley (1) , C Colangeli (3)

1 MicrodB
2 LVA - Laboratoire Vibrations Acoustique
3 Siemens Digital Industries Software

Spectral acoustic imaging is a widely used approach in the automotive industry for sound source localization. However, because the vibroacoustic mechanisms in rotating machines are non-stationary during run-up or run-down, conventional techniques cannot be directly implemented. This necessitates the development of an acoustic imaging method for source localization to deal with non-stationary engine speeds. Ordertracking is a well-known technique to analyze a machine under large speed variation, which has an ability to extract orders, that are proportional to shaft rotational frequency, investigate critical frequencies and tonal components. In this paper, a novel method, coined Order-Based Beamforming (OBBF) is presented. OBBF performs beamforming on extracted orders to localize the sources at various speeds during a run-up or rundown. The proposed method is evaluated through both simulated and experimental data. The key outcome of this work is to show the automotive industry a way to perform localization at non-stationary operating conditions.

Domaines: Génie mécanique [physics.class-ph]

K Kottakota, Jérôme Antoni, Quentin Leclere, S Bouley, C Colangeli. Localization of non-stationary tonal sources through order-based beamforming. International Conference on Noise and Vibration Engineering (ISMA 2022), Sep 2022, Leuven, Belgium. ⟨hal-03814126⟩