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声阵列技术在雷达传动系统异响故障诊断中的应用
引用本文:邱保安,吕辉,李力力.声阵列技术在雷达传动系统异响故障诊断中的应用[J].现代雷达,2019,41(11):85-89.
作者姓名:邱保安  吕辉  李力力
作者单位:南京电子技术研究所,南京电子技术研究所,南京电子技术研究所
摘    要:声阵列技术通过特定方式排布的声传感器阵列接收声场信号,采用波束形成原理对声场信号进行特殊处理,获取噪声源的幅值、相位、方位等信息,得到声场的空间分布,实现混响环境多个声源的检测与识别。针对某轮轨式大型相控阵雷达天线座滚轮的异响噪声故障,基于声阵列噪声源识别技术,利用平面螺旋声像检测系统对滚轮噪声的辐射声场进行测量,获得了滚轮噪声的频率特性和声场能量分布特征,并通过声场图像和光学视频图像的透明重叠,以云图方式准确直观地呈现了滚轮噪声源的频率、分布位置。研究结果表明:声阵列技术能够快速准确地进行噪声源的诊断和空间定位,为雷达传动系统异响噪声故障的诊断分析提供了有效的工程经验。

关 键 词:噪声源识别  声阵列  故障诊断  传动系统

Application of Acoustic Array Technology in Abnormal Noise Fault Diagnosis of Radar Transmission System
Affiliation:Nanjing Research Institute of Electronics Technology,Nanjing Research Institute of Electronics Technology and Nanjing Research Institute of Electronics Technology
Abstract:Sound field signals are received through the specially arranged acoustic sensor array, amplitude, phase, azimuth and other information of the noise source are obtained by carrying on the special processing to the sound field signals based on principle of beam-forming in acoustic array technology. Thus, the spatial distribution of sound fields is constructed, which contributes to realize the detection and recognition of multi-sound sources in reverberation environment. Based on the acoustic array noise source identification technology, aiming at the abnormal noise fault of the azimuth roller of a roller raceway type pedestal for large phasedarray radar, the plane spiral acoustic imaging detection system is used to measure and image the radiation sound field of the roller. The spectrum characteristics and sound fields energy distribution of the roller noise are obtained in this way. The frequency and distribution position of the roller noise source are displayed accurately and intuitively by means of cloud image through the transparent overlap of the sound field image and the optical video image. The results show that the acoustic array technology can detect the noise source and carry out the spatial orientation quickly and accurately, which provides a reliable engineering experience for the abnormal noise fault diagnosis of the radar transmission system.
Keywords:noise source identification  acoustic array  fault diagnosis  transmission system
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