摘要
为识别和定位地毯织机主要噪声源,提出一种基于经验模态分解(EMD)和离散小波能量特征的地毯织机噪声源识别方法。首先应用EMD对地毯织机噪声信号进行分解,获得若干本征模态分量,根据互相关系数剔除虚假分量并重构信号;其次使用db20小波对重构信号进行离散小波变换,分解得到各小波分量并计算各分量的能量占比;然后提取能量占比较大的分量,分析其时频特性;最后采用激光测振仪依次测量地毯织机各主要部件的振动信号,对比分析得到主要噪声源所在位置,从而完成识别。研究结果表明,该方法可有效地识别和定位地毯织机主要噪声源。
In order to identify and locate the main noise sources of carpet tufting machines,a noise source identification method based on empirical mode decomposition（ EMD） and energy characteristics of discrete wavelet transform（ DWT） was proposed. Firstly,EMD was used to decompose the noise signal of a carpet tufting machine into a plurality of intrinsic mode functions. According to the cross correlation coefficients,the false components were removed for reconstructing the noise signal. Secondly,DWT was used to process the reconstructed signal by using db20 wavelet,and the energy ratio of each component was calculated. Then the components with larger energy ratio were extracted, and time-frequency characteristics thereof were analyzed. Finally,the vibration signals of the main components of a carpet tufting machine were measured with a fiber laser vibrometer. The locations of main noise sources were obtained by comparing analysis. The results show that this method can effectively identify and locate the main noise sources of a carpet tufting machine.
作者
徐洋
盛晓伟
李昂昂
钱如峰
孙志军
XU Yang;SHENG Xiaowei;LI Ang＇ang;QIAN Rufeng;SUN Zhijun(College of Meehanical Engineering,Donghua University,Shanghai 201620,China)
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2018年第8期138-143,共6页
Journal of Textile Research
基金
国家自然科学基金项目(51675094)
中央高校基本科研业务费专项资金资助项目(2232017A3-04
2232016D3-27)
关键词
地毯织机
噪声源识别
经验模态分解
离散小波变换
能量特征
carpet tufting machine
noise source identification
empirical mode decomposition
discrete wavelet transform
energy characteristic
