作　　者： ; ; ; ; ;

机构地区： 广州中医药大学医学信息工程学院

出　　处： 《焊接学报》 2013年第8期47-50,115,共4页

摘　　要： 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. 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.

关 键 词： 双脉冲焊 周期阶段 检测 局域均值

领　　域： [金属学及工艺]