Abstract
The acoustic emission characterization of gear systems is a key issue in several mechanical fields aiming at improving sound quality and diagnostic features. The possibility of identifying contribution of different vibro-acoustic sources would help on tackling that objective. A Time Domain Correlation method based on simultaneously collected acoustic and vibration data is exploited for separating the acoustic contribution coming from the different components of a three epicyclical gear electric motor. Two different approaches of the Scanning Laser Doppler Vibrometry are discussed for measuring vibration data: the Continuous Scan one, where the laser sweep continuously the surface under test simultaneously providing temporal and spatially sampled data, and the Standard Sequential Scan.
A comparison between the proposed method and another noise source separation approach named Selective Intensity (already discussed in previous works) is also presented.
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© 2012 The Society for Experimental Mechanics, Inc.
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Revel, G.M., Martarelli, M., Chiariotti, P. (2012). Spatial Noise Component Identification Based on Different Vibro-Acoustic Data Sets. In: Allemang, R., De Clerck, J., Niezrecki, C., Blough, J. (eds) Topics in Modal Analysis II, Volume 6. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2419-2_43
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DOI: https://doi.org/10.1007/978-1-4614-2419-2_43
Publisher Name: Springer, New York, NY
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