基于频谱与小波变换的工业压缩机噪声源分析仪设计

Design of Noise Source Analyzer for Industrial Compressor Based on Frequency Spectrum and Wavelet Transform

文章介绍了一套基于频谱与小波变换的工业压缩机噪声源分析仪的设计。该分析仪以LabVIEW为软件开发平台,采用频谱分析法和连续小波变换法对工业压缩机的噪声源进行定位识别分析,具有噪声信号采集、处理、频谱分析法识别以及连续小波变换法识别等功能。试验结果表明,这2种识别方法均能区分出工业压缩机的各个噪声源及其在压缩机噪声声功率中的贡献,便于迅速、直观地定位主噪声源的频带分布范围,进而监测工业压缩机的运行状态。

The paper introduced design of a noise source analyzer for industrial compressor based on frequency spectrum and wavelet transform. The analyzer takes LabVIEW as software development platform, adopts methods of frequency spectrum analysis and continuous wavelet transform to analyze position and recognition of noise source of industrial compressor, and has functions of collection and processing of noise signals, recognition methods of frequency spectrum analysis and continuous wavelet transform and so on. The test result showed that the two recognition methods can distinguish each noise source of industrial compressor and everyone＇s contribution in noise power of compressor, so it is easy to locate range of frequency bands distribution of main noise source quickly and visually, so as to monitor running status of industrial compressor.