金刚石磨粒变切深划擦无氧铜的声发射及其时间序列建模

试验研究了单颗金刚石磨粒以不同切深划擦无氧铜的声发射信号特征,对不同切深下的声发射信号进行平稳化,确定合适的时间序列模型阶次和模型识别,建立了金刚石划擦无氧铜的声发射时间序列自回归(Auto Regressive,AR)模型。研究表明:随着切深的增加,声发射特征参数和最大振幅随之增大,AR模型的各特征向量与切深之间具有较好的线性关系,合理的AR模型可较好地表征单颗金刚石磨粒划擦无氧铜的声发射信号特征,并可以实时分析金刚石磨粒的划擦深度。

Characteristics of acoustic emission signal due to diamond grit scratching on oxygen free copper and its time series modeling

The acoustic emission characteristics of a single diamond grit scratching on oxygen free copper with different scratch depths are studied by experiments. The AE signals are pre-processed to become stabilized and to determine appropriate time series model order and model identification. The Auto Regressive (AR) model for the AE time series signals generated by a single diamond grit scratching on oxygen free copper is established. The results show that the AE characteristic parameters and maximum amplitude increase with the increase of scratching depth. There is a good linear relationship between the characteristic vector of the AR model and the scratching depth. The AE signal characteristics of different scratching depths can be well represented by the rational time series AR model. The scratching depth of the single diamond grit can also be real-time analyzed by the AR model.