用最大熵谱法分离切削声发射信号的研究

A Study on the Separation of Cutting Acoustic Emission Signals by Maximum Entropy Spectrum Method

对金属切削过程中不同声发射源的信号进行分离,是声发射技术用于切削状态监控以及提高其可靠性的关键。文中采用宽频带测试系统和最大熵谱分析方法,对车削过程中众多声发射源的声发射信号进行了分离实验研究。结果表明,在频域内进行不同声发射源的声发射信号的分离是可行的。

At present, there are many studies on the monitor of cutting tool wear and breakage and on the monitor of the shape of chips by acoustic emission(AE). In metal cutting process, there are several different AE sources. Moreover, these different AE signals mix with one another. So, the separation of these different AE signals is the key to the monitor of cutting state by AE. In this paper, the separation of the different AE signals in turning process is studied experimentally by making use of a measurement system with wide frequency band and the analysis method of maximum entropy spectrum. The experimental rerults show that the separating different AE signals in frequency domain is feasible.