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technique were applied in a two noise source region scenario. The aim of these techniques was to identify the contribution of one or both of these noise sources to the noise measured at a sensor of interest. Test set-ups where each source is present in isolation were also investigated to provide benchmark auto-spectra. These benchmarks are compared to the resulting spectra from several coherence based techniques in order to assess each technique’s ecacy in identifying the relative contribution of one or both source region(s) to the noise measured by a receiver of interest. A modal CSA technique is also proposed and tested, based on the ve-microphone conditional spectral analysis technique, which uses decomposed acoustic modes at the duct inlet to identify the contribution of both of the source region(s) to the amplitudes of the modes propagating at the inlet end of the duct. The novel technique was tested for broadband noise source identication, by investigating how accurately it could identify the contributions of two broadband noise source regions to the modal content at the duct inlet.

Experimental Investigations of Coherence Based Noise Source Identification Techniques for Turbomachinery Applications - Classic and Novel Techniques