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Sample Entropy-Based Approach to Evaluate the Stability of Double-Wire Pulsed MIG Welding

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  • Ping Yao
  • JiaXiang Xue
  • Kang Zhou
  • XiaoJun Wang

Abstract

According to the sample entropy, this paper deals with a quantitative method to evaluate the current stability in double-wire pulsed MIG welding. Firstly, the sample entropy of current signals with different stability but the same parameters is calculated. The results show that the more stable the current, the smaller the value and the standard deviation of sample entropy. Secondly, four parameters, which are pulse width, peak current, base current, and frequency, are selected for four-level three-factor orthogonal experiment. The calculation and analysis of desired signals indicate that sample entropy values are affected by welding current parameters. Then, a quantitative method based on sample entropy is proposed. The experiment results show that the method can preferably quantify the welding current stability.

Suggested Citation

  • Ping Yao & JiaXiang Xue & Kang Zhou & XiaoJun Wang, 2014. "Sample Entropy-Based Approach to Evaluate the Stability of Double-Wire Pulsed MIG Welding," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-8, June.
    • Handle: RePEc:hin:jnlmpe:869631
    DOI: 10.1155/2014/869631
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    Cited by:

    1. Huang, Yong & Yang, Dongqing & Wang, Lei & Wang, Kehong, 2020. "Classifying of welding time series based on multi-scale time irreversibility analysis and extreme learning machine," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).

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