期刊文献+

基于近似熵铝合金P-MIG焊稳定性评价方法研究

Research on Evaluation Method of Aluminum Alloy Pulse MIG Welding Stability Based on Approximate Entropy
在线阅读 下载PDF
导出
摘要 为确定铝合金脉冲MIG(P-MIG)焊过程稳定性,根据近似熵的理论,对铝合金脉冲MIG焊中的电压信号进行近似熵分析,通过对不同焊接速度、送丝速度与占空比的焊接规范参数下的电压信号近似熵的计算分析,证明利用电弧电压信号的近似熵分析可以衡量铝合金脉冲MIG焊接过程稳定性。初步建立了铝合金脉冲MIG焊过程稳定性评价体系:平均近似熵值小,其焊接过程比较稳定;平均近似熵值大,其焊接过程不稳定。 In order to evaluate the stability of the process of aluminum alloy pulsed MIG welding, an approximate entropy analysis has been done on voltage signal in the process of aluminum alloy pulsed MIG welding. The calculation and comparison of the approximate entropy on voltage signal under different welding parameters, such as weelding speeds, wire feed speeds , duty cycle and so on, shows that the approximate entropy of voltage can reflect the stability of the process of aluminum alloy pulsed MIG welding. The results show that the smaller the average value of approximate entropy, the more stable the welding process will be. Otherwise, the welding process is unstable while the average value is bigger.
出处 《计算机测量与控制》 CSCD 北大核心 2009年第7期1399-1402,共4页 Computer Measurement &Control
基金 国家自然科学基金项目(50675093) 国家自然基金国际合作项目(50710105060) 甘肃省教育厅基金项目(0803-02)
关键词 脉冲MIG焊 近似熵 规范参数 稳定性 评价体系 pulse MIG approximate entropy parameters stability evaluation system
  • 相关文献

参考文献8

二级参考文献17

  • 1廖旺才,胡广书,杨福生.心率变异性的非线性动力学分析及其应用[J].中国生物医学工程学报,1996,15(3):193-201. 被引量:19
  • 2童诗白.《模拟电子技术基础》[M].人民教育出版社,1981..
  • 3PINCUS S M. Approximate entropy as a measure of system complexity [J]. Proc Natl Acad Sci USA, 1991, 88:2297- 2301.
  • 4GRASSBERGER P , PROCACCIA I. Measuring the strangeness of strange attractors [J ]. Physica D, 1983,(9) :189 - 208.
  • 5BRUHN J, ROPCKE H, HOEFT A. Approximate entropy as an electroencephalographic measure of anesthesia drug effect during desflurane anesthesia [J ]. Anesthesiology, 2000, 92(3) :715 - 726.
  • 6PINCUS S M, GLADSTONE I I, EHRENKRANZ R A. A regularity statistic for medical data analysis [ J ]. J Clin.Monit, 1991, (7) :335- 345.
  • 7ZHANG X S, ROY R J. EEG complexity as a measure of depth of anesthesia for patients [ J ]. IEEE transactions on biomedical engineering, 2001, 48 (12) : 1424 - 1434.
  • 8REZEK I A, ROBERTS S. J. Stochastic complexity measures for physiological signal analysis [J]. IEEE Transactions on biomedical engineering, 1998, 45(9) :1186 - 1191.
  • 9ZHANG X S, ROY R J. Derived fuzzy knowledge model for estimating the depth of anesthesia [J]. IEEE Transactions on Biomedical Engineering, 2001, 48(3):312-322.
  • 10Stava E K. A new, low-spatter arc welding machine [J]. Welding Journal, 1993,72:25-29.

共引文献42

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部