Title :
Noise source identification based on measurements of cross-correlation functions
Author :
Mas, P. ; Delmotte, P. ; Sas, P.
Author_Institution :
Dept. of Mech. Eng., Katholieke Univ., Leuven, Belgium
Abstract :
In this paper an original measurement procedure is proposed to identify the spatial coordinates of broadband sound sources present in a given space. The method yields a visual image of the source distribution. This image is based on statistical source probabilities, derived from a small number of correlation functions. The correlation functions are measured between the microphones of a synthetic circular array. Point sources as well as distributed sources can be localised. The method has been verified by simulations and measurements
Keywords :
acoustic correlation; acoustic devices; acoustic generators; acoustic imaging; acoustic noise; acoustic noise measurement; array signal processing; identification; microphones; probability; broadband sound sources; control engineering; correlation function; cross-correlation functions; distributed sources; identification; measurement; microphones; noise source identification; point sources; simulation; source distribution; spatial coordinates; statistical source probabilities; synthetic circular array; time delay; visual image; Acoustic measurements; Acoustic noise; Coordinate measuring machines; Green´s function methods; Impedance; Mechanical variables measurement; Microphone arrays; Noise measurement; Pressure measurement; Surface waves;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE
Conference_Location :
Brussels
Print_ISBN :
0-7803-3312-8
DOI :
10.1109/IMTC.1996.507407
