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指出非平稳信号处理领域中第二代小波变换的本质是动态信号与基函数进行内积变换的数学原理,即通过信号与基函数的尺度函数和小波函数的内积运算,得到信号的分解与重构.利用第二代小波基函数振荡衰减和紧支性质,分析数控机床铣削加工过程中的声发射信号,有效地提取并识别出立铣刀破损状态特征以及对工件表面加工质量的影响,为故障诊断、误差溯源、质量控制提供科学依据.
It is pointed out that the essence of the second generation of wavelet transform in the field of non-stationary signal processing is the mathematical principle of the inner product transform of dynamic signals and basis functions. That is to say, the decomposition of the signal is obtained by the inner product operation of the scale function of the signal and the basis function and the wavelet function Reconstruction.Using the second-generation wavelet basis function oscillation decay and clamped property, the acoustic emission signals during the milling process of NC machine tool are analyzed, the damage characteristics of the end mill and the effect on the surface machining quality are effectively extracted and identified, For fault diagnosis, error traceability, quality control to provide a scientific basis.