Spatial noise component identification based on different vibro-acoustic data sets

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.