摘要
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.
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.
基金
supported by the Young Scientists Fund of the National Natural Science Foundation of China(Grant No.51205283)
关键词
替代数据法
时间序列
电信号
随机信号
测试
随机特性
检测系统
模型数据
CO2 welding, surrogate data method, deterministic and stochastic analysis, short-circuiting transfer, stability
