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Communication Dans Un Congrès Année : 2016

Acoustic imaging applied to fault detection on a rotating machine bench

Résumé

One of the principal application of acoustic imaging techniques is to identify the acoustic sources over a surface. The purpose of this study is to show the relevance of acoustic imaging as a fault detection tool. A rotating machine bench is used to generate experimentally bearings and gears faults configurations. A 45 microphones array with a spiral distribution is used to register the acoustic radiation. Before applying the acoustic imaging technique, several operations are applied to the recorded signals. The signals are firstly angularly resampled thanks to an angle encoder. Secondly, the synchronous average is used on the signals in order to separate the synchronous and random parts with regard to the mechanism periodicity. Beamforming is then applied to both extracted signals in order to visualize the synchronous and the random acoustic sources. The gears and shaft signals are theoretically synchronous with the mechanism frequency while bearing is not necessarily. The fault signature extracted can be visualized spatially thanks to beamforming.
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Dates et versions

hal-01468592 , version 1 (15-02-2017)

Identifiants

  • HAL Id : hal-01468592 , version 1

Citer

Edouard Cardenas Cabada, Nacer Hamzaoui, Quentin Leclere, Jérôme Antoni. Acoustic imaging applied to fault detection on a rotating machine bench. Proceedings of ISMA 2016, 2016, Leuven, Belgium. ⟨hal-01468592⟩
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