金属切削声发射的时间序列模型分析
Analysis of Metal Cutting Acoustic Emissions by Time Series Models
摘要：
我们分析了一些声发射时间序列从车床加工过程。考虑到过程的动态演化，我们应用两类众所周知的平稳随机时间序列模型。我们应用一个初步的均方根（RMS）变换，然后进行ARMA分析，其结果主要涉及到的连续部分（塑性变形）的信号的描述。声发射的分析，如以前的一些作品所示，也可以与理解的老化过程的演变，导致工作工具的退化的范围内进行。一旦了解了老化过程中声发射信号的离散部分（即孤立的振幅突发）的重要性，我们就应用基于突发之间的点过程等待时间的随机分析，并确定一个参数，利用该参数来确定工作工具的磨损水平。一个韦布尔分布似乎足以描述等待时间分布。
英文摘要：
We analyse some acoustic emission time series obtained from a lathe machining process. Considering the dynamic evolution of the process we apply two classes of well known stationary stochastic time series models. We apply a preliminary root mean square (RMS) transformation followed by an ARMA analysis; results thereof are mainly related to the description of the continuous part (plastic deformation) of the signal. An analysis of acoustic emission, as some previous works show, may also be performed with the scope of understanding the evolution of the ageing process that causes the degradation of the working tools. Once the importance of the discrete part of the acoustic emission signals (i.e. isolated amplitude bursts) in the ageing process is understood, we apply a stochastic analysis based on point processes waiting times between bursts and to identify a parameter with which to characterise the wear level of the working tool. A Weibull distribution seems to adequately describe the waiting times distribution.
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