Test for random in electrical signals time series of CO2 short circuit transition welding process by the method of surrogate data

Ying Wang, Xiaoqing Lü*, Lijun Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This paper introduced the basic theory and algorithm of the surrogate data method, which proposed a rigorous way to detect the random and seemingly stochastic characteristics in a system. The Gaussian data and the Rossler data were used to show the availability and effectivity of this method. According to the analysis by this method based on the short-circuiting current signals under the conditions of the same voltage and different wire feed speeds, it is demonstrated that the electrical signals time series exhibit apparently randomness when the welding parameters do not match. However, the electrical signals time series are deterministic when a match is found. The stability of short-circuiting transfer process could be judged exactly by the method of surrogate data.

Original languageEnglish
Pages (from-to)21-29
Number of pages9
JournalChina Welding (English Edition)
Volume25
Issue number1
Publication statusPublished - 25 Mar 2016
Externally publishedYes

Keywords

  • CO welding
  • Deterministic and stochastic analysis
  • Short-circuiting transfer
  • Stability
  • Surrogate data method

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