Abstract
The Particle Velocity Sensor (PVS) is a kind of acoustic transducer which measures the particle velocity directly with figure-of-eight directivity. This paper proposes a near-field noise scanning technology based on the research of PVS, pressure-particle velocity (P-U) probe, and its application in noise source identification. Firstly, the principle and characteristics of PVS are presented. Secondly, a P-U probe is designed on the basis of PVS development. Finally, the noise measurement experiment for a single source is arranged and conducted. The result shows that the proposed P-U probe performs well in near-field noise source identification and localization.
Highlights
Sound intensity scanning is a near-field noise measurement method with high precision and efficiency, which can be used to measure sound power, identify and the position of noise source, etc
This paper proposes a near-field noise scanning technology based on the research of Particle Velocity Sensor (PVS), pressure-particle velocity (P-U) probe, and its application in noise source identification
The sound intensity is directly calculated from the sound pressure and acoustic particle velocity using P-U probe
Summary
Sound intensity scanning is a near-field noise measurement method with high precision and efficiency, which can be used to measure sound power, identify and the position of noise source, etc. Shults proposed a method for indirectly measuring particle velocity by measuring the sound pressure gradient, which is widely used in P-P sound intensity probes [3] This method is limited by the phase consistency and physical distance between two microphones, and the operating frequency is difficult to cover the whole frequency range. Based on the principle of particle velocity measurement, a one-dimensional MEMS vector microphone is developed, known as P-U probe, which combines the sound pressure sensor and PVS. This sensor realizes the synchronous and co-point measurement of sound pressure and particle velocity. High-precision scanning of sound intensity and accurate identification of noise source are achieved
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