双脉冲焊电流波形周期阶段的自适应检测

提出了一种基于局域电流均值的自适应检测方法.首先估算局域时间范围大小,接着统计局域电流均值序列,然后根据此序列,采用双阈值法,标记脉冲群阶段.最后,在每一个群内划分具体的周期阶段.结果表明,文中方法对五种双脉冲焊电流波形,均能非常准确地区分脉冲群阶段;群内周期阶段的标记也近乎全部正确.为后续的特征提取及其它计算研究提供了充分的支持.

Self-adapting detection of cycle stages of the current waveform in DP-GMAW process

Detection of cycle stages of the current waveform in DP-GMAW process is the precondition for quantitative feature extraction and power supply evaluation. However,the wide variety of DP-GMAW modulations results in the large difficulties for detection,and related achievements have not been reported. This paper put forward a self-adapting detection method based on the average local current. First,the local time range was estimated,which was followed by the calculation of the average local current sequence. Then,according to the sequence, the double-threshold value method was applied to marking the pulse trains. Finally,each pulse train was subdivided into cycle stages. Tests show that with the above method,five typical types of waveforms during the DP-GMAW process could be accurately divided into phases of pulse train,and the markers of cycle stages within a pulse train were almost all correct,which gave full support to the subsequent feature extraction and other calculations and studies.