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基于独立分量分析的点焊特征声音信号提取
引用本文:步贤政,单平,罗震,唐新新.基于独立分量分析的点焊特征声音信号提取[J].焊接学报,2009,30(2):41-44.
作者姓名:步贤政  单平  罗震  唐新新
作者单位:天津大学,材料科学与工程学院,天津,300072
基金项目:国家高技术研究发展计划(863计划),国家自然科学基金,广东省教育部产学研结合项目,教育部资助项目 
摘    要:采用独立分量分析的方法和传感器阵列技术对点焊声音信号进行了研究,建立了点焊声音信号独立分量分析算法.采用8个传声器阵列,同时对点焊过程中的声音信号进行了测量,获得了比单传感器丰富的点焊信息.计算了这些声音信号的峰度系数,确认其为非高斯型,满足独立分量分析的要求,并对其进行独立分量分析.结果表明,基于FastICA算法的独立分量分析可以从叠加噪声中分离出点焊过程信号源,且效果明显,为深入分析点焊过程提供了一个新的技术手段,并且该算法可以应用于其它焊接方法中.

关 键 词:铝合金点焊  噪声  声音信号  独立分量分析
收稿时间:2008/9/16 0:00:00

Characteristic extraction of acoustic signals emitted from resistance spot welding process based on independent component analysis
BU Xianzheng,SHAN Ping,LUO Zhen and TANG Xinxin.Characteristic extraction of acoustic signals emitted from resistance spot welding process based on independent component analysis[J].Transactions of The China Welding Institution,2009,30(2):41-44.
Authors:BU Xianzheng  SHAN Ping  LUO Zhen and TANG Xinxin
Affiliation:School of Material Science and Engineering;Tianjin University;Tianjin 300072;China
Abstract:In this paper,independent component analysis(ICA)and multisensor array technology were used to research the acoustic emission signals from resistance spot welding.An independent component analysis algorithm for the acoustic signals from spot welding was established.A multisensor array system with 8 microphones was used to measure the acoustic emission signals from spot welding synchronously.According to the calculation of the kurtosis coefficient,the acoustic signals were found to be non-Gaussian distributi...
Keywords:aluminum alloy spot welding  noise  acoustic signal  independent component analysis  
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