内燃机工程2017，Vol.38Issue(2)：141-145,5.DOI:10.13949/j.cnki.nrjgc.2017.02.025
基于信号分析的发电机组辐射噪声盲源分离和识别
Blind Source Separation and Identification of Generator Radiation Noise Based on Signal Analysis
摘要
Abstract
For generator radiation noise, the algorithm for empirical mode decomposition with independent elements(IE-EMD) combining the advantages of independent component analysis algorithm and empirical mode decomposition algorithm was used to decompose the noise sources into a series of independent component by using a single observation signal to ensure the independence of isolated sound sources.At the same time, the wavelet transform technique was used to analyze the independent components and the corresponding relations between the different generator noise sources and independent components were determined by the time-frequency analysis results which was verified by experiments.Results show that these independent components correspond to valve train noise, balancing shaft drive gear noise, timing gear noise and intake air noise.关键词
内燃机/发电机组/盲源分离/独立成分分析/经验模态分解/小波变换Key words
IC engine/generator/blind source separation/independent component analysis/empirical mode decomposition/wavelet transform分类
能源科技引用本文复制引用
景亚兵,刘昌文,毕凤荣..基于信号分析的发电机组辐射噪声盲源分离和识别[J].内燃机工程,2017,38(2):141-145,5.基金项目
国家科技支撑计划(2015BAF07B04) （2015BAF07B04）
