| 基于支持向量机的CO2焊接保护气流量识别研究 |
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| 引用本文： | 瞿敏,马跃洲.基于支持向量机的CO2焊接保护气流量识别研究[J].电焊机,2007,37(4):68-70,73. |
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| 作者姓名： | 瞿敏 马跃洲 |
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| 作者单位： | 1. 苏州市职业大学,电子信息工程系,江苏,苏州,215104
2. 兰州理工大学,材料科学与工程学院,甘肃,兰州,730050 |
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| 摘 要： | 利用线性预测(LPC)分析方法建立电弧声信号数学模型并提取声音频域特征,分别用电弧声的LPC预测系数及反射系数作为输入向量构造样本集,建立CO2焊接过程支持向量机模型,对焊接过程保护气体流量进行了识别和分类.测试表明:利用电弧声建立的SVM模型能对焊接气流量进行有效识别.
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| 关 键 词： | 支持向量机 电弧声 LPC模型 保护气体流量 |
| 文章编号： | 1001-2303（2007）04-0068-04 |
| 修稿时间： | 2007-02-07 |
Research of CO2 welding shield gas flux classifier based on SVM |
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| QU Min,MA Yue-zhou.Research of CO2 welding shield gas flux classifier based on SVM[J].Electric Welding Machine,2007,37(4):68-70,73. |
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| Authors: | QU Min MA Yue-zhou |
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| Affiliation: | 1.Department of Electronic Information Engineering,Suzhou Vocational University,Suzhou 215104,China;2.College of Material Science and Engineering, Lanzhou University of Technology, Lanshou 730050,China |
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| Abstract: | The LPC analysis was used to make the mathematical model of arc sound and abstract the frequency characteristics of sound.Constructed input vectors by the LPC prediction and reflectance coefficients of sound signals respectively,the classification models based on SVM have been built for pattern recognition of the shield gas flux in CO2 welding.The testing results showed that the classification capabilities of SVM models were effective. |
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| Keywords: | SVM welding arc sound LPC model shield gas flux |
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