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基于电流样本熵的脉冲MIG焊稳定性评定

谢煌生, 傅智河, 王悦新, 徐敏, 薛家祥

谢煌生, 傅智河, 王悦新, 徐敏, 薛家祥. 基于电流样本熵的脉冲MIG焊稳定性评定[J]. 焊接学报, 2015, 36(10): 95-99.
引用本文: 谢煌生, 傅智河, 王悦新, 徐敏, 薛家祥. 基于电流样本熵的脉冲MIG焊稳定性评定[J]. 焊接学报, 2015, 36(10): 95-99.
shu
XIE Huangsheng, FU Zhihe, WANG Yuexin, XU Min, XUE Jiaxiang. Pulsed MIG welding stability evaluation based on current sample entropy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(10): 95-99.
Citation: XIE Huangsheng, FU Zhihe, WANG Yuexin, XU Min, XUE Jiaxiang. Pulsed MIG welding stability evaluation based on current sample entropy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(10): 95-99.
shu

基于电流样本熵的脉冲MIG焊稳定性评定

  • 1.

    龙岩学院 机电工程学院, 龙岩 364012

  • 2.

    华南理工大学 机械与汽车工程学院, 广州 510641

基金项目: 广东省省部产学研资助项目(2013B090600098);龙岩市先进机械设计制造技术公共服务平台(2012LY01)

Pulsed MIG welding stability evaluation based on current sample entropy

  • 1.

    School of Mechanical and Electrical Engineering, Longyan University, Longyan 364012, China

  • 2.

    School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China

摘要

    摘要
  • 摘要: 针对焊接稳定性定量评定困难的特点,提出了一种基于电流样本熵的焊接稳定性评定方法. 随着电信号稳定性降低,样本熵均值变大,样本熵标准差也变大,选用样本熵的均值与标准差的乘积来量化焊接稳定性. 讨论了嵌入维数、给定阈值和样本长度对样本熵的影响,对于研究的脉冲MIG焊电流信号,当m=2, r=0.08, N=2 000时,样本熵分布合理,计算所耗时间较小.最后做了三组脉冲MIG焊对比试验. 结果表明,通过样本熵的均值与标准差的乘积评定的焊接稳定性与实际焊缝质量效果吻合;在相同给定电流下,样本熵的均值与标准差的乘积越大,焊接稳定性越差.
    Abstract: Aiming at difficult features in welding stability evaluation, a kind of welding stability evaluation method based on the current entropy was proposed. The mean and the standard deviation of sample entropy and was increased when current stability decreased. The product of mean value and standard deviation of the sample entropy were selected to quantified the welding stability. The effects of embedding dimension, given threshold and sample length on the sample entropy were discussed. For the given pulse MIG welding current signal, sample entropy distributed reasonably and time consumed less when m=2, r=0.08, N=2 000. Three contrast pulse MIG welding experiments were carried out at last and the results indicated that the welding stability evaluated by product of sample entropy mean and sample entropy standard deviation was coincided with actual weld quality, high value of the product of sample entropy mean and sample entropy standard deviation reflected inferior welding stability when the current was tbe same.
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    • 参考文献(9)
  • [1] 高理文, 薛家祥, 陈 辉, 等. 基于自相关分析的电弧焊熔滴过渡过程稳定性的定量评价[J]. 焊接学报, 2012, 33(5): 29-32, 114. Gao Liwen, Xue Jiaxiang, Chen Hui, et al. Quantitative evaluation on metal transfer process stability of arc welding based on autocorrelation analysis[J]. Transactions of the China Welding Institution, 2012, 33(5): 29-32, 114.
    [2] Pincus S M. Approximate entropy as a measure of system complexity[J]. Proceedings of the National Academy of Sciences of the United States of America, 1999, 88(6): 2297-2301.
    [3] Tolle C R, Laviolette R A, Smartt H B, et al. Is there evidence of determinism in droplet detachment within the gas metal arc welding process[C]// 6th International conference on Trends in Welding Research, APRIL, 2002: 15-19.
    [4] 吕小青, 林建平, 曹 彪, 等. CO2焊不同过渡形态下电流信号的近似熵分析[J]. 焊接学报, 2008, 29(7): 17-21, 113-114. Lü Xiaoqing, Lin Jianping, Cao Biao, et al. Approximate entropy analysis of current signal in different transfer modes of CO2 arc welding[J]. Transactions of the China Welding Institution, 2008, 29(7): 17-21, 113-114.
    [5] 聂 晶, 石 玗, 黄健康, 等. 铝合金P-MIG焊稳定性近似熵神经网络预测[J]. 焊接学报, 2010, 31(8): 77-80, 116-117. Nie Jing, Shi Yu, Huang Jiankang, et al. Approximate entropy GRNN forecast for aluminum alloy pulsed MIG welding stability[J]. Transactions of the China Welding Institution, 2010, 31(8): 77-80, 116-117.
    [6] 张伟超, 杨立军, 吕小青. 基于近似熵测度的铝合金P-MIG亚射流过渡自适应控制研究[J]. 物理学报, 2011, 60(02): 152-160. Zhang Weichao, Yang Lijun, Lü Xiaoqing. Approximate entropy based meso-spray transfer analysis of Al-alloy pulsed metal inert-gas welding under self-adapting control[J]. Acta Physica Sinica, 2011, 60(02): 152-160.
    [7] Richman J S, Moorman J R. Physiological time-series analysis using approximate entropy and sample entropy[J]. American Jounal of Physilolgy-heart and Circulatory Physiology 2000, 278(6): 2039-2049.
    [8] Alcaraz R, Rieta J J. A novel application of sample entropy to the electrocardiogram of atrial fibrillation[J]. Nonlinear Analysis Real World Applications, 2010, 11(2): 1026-1035.
    [9] Lake D E, Richrnan J S, Griffin MP, et al. Sample entropy analysis of neonatal heart rate variability[J]. American Jounal of Physilolgy-heart and Circulatory Physiology, 2002, 283(3): 789-797.
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  • 收稿日期:  2015-06-19

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