噪声与振动控制2016，Vol.36Issue(3)：122-126,5.DOI:10.3969/j.issn.1006-1335.2016.03.025
基于近场声阵列的旋转机械噪声源识别
Noise Source Identification of Rotating Machinery Based on Near-field Acoustic Pressure Arrays
摘要
Abstract
In order to control the noise of the rotating machinery effectively, the signal processing techniques are usually used to identify the noise sources of the whole machine or component parts for fault diagnosis and structural optimization. In this paper, a model of uniform linear near-field acoustic pressure array is constructed to obtain the sound field data. Then, the method of Deconvolution Approach for the Mapping of Acoustic Sources (DAMAS) is employed to extract the information of the sound field from the results of traditional beam-forming analysis to realize the visual reconstruction of the sound source surface. Finally, the rotor vibration test rig based on the near-filed acoustic pressure array measuring is built to obtain the experimental vibration signals under different conditions. The bearings and connection between the turntable and the shaft are found to be the positions of noise sources. Therefore, the feasibility of the proposed method is verified.关键词
声学/噪声源识别/旋转机械/声阵列/反卷积法Key words
acoustics/noise source identification/rotating machinery/acoustic pressure array/DAMAS分类
通用工业技术引用本文复制引用
赖少将,李舜酩..基于近场声阵列的旋转机械噪声源识别[J].噪声与振动控制,2016,36(3):122-126,5.基金项目
中央高校基本科研业务费专项资金资助项目；机械结构强度与振动国家重点实验室开放课题资助项目(SV2015-KF-01)；江苏省普通高校研究生科研创新计划资助项目 （SV2015-KF-01）
