基于Savitzky-Golay滤波的小波分析工具状态监测

Meihong Li, Li Lv, Bihui Yu
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引用次数: 0

摘要

根据小波变换对时间序列的应用特点,通过小波变换提取刀具使用过程中力时间序列的小波系数作为特征,融合支持向量回归和反向传播神经网络,应用于刀具状态监测。为了获得更好的实验结果,加入了Savitzky-Golay卷积平滑算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tool Condition Monitoring Using Wavelet Analysis with Savitzky-Golay Filter
According to the application characteristics of wavelet transform to time series, the wavelet coefficients of time series of force in the process of tool use are extracted by wavelet transform as features, fused with support vector regression and back propagation neural network, and applied to tool condition monitoring. Savitzky-Golay convolution smoothing algorithm is added to obtain better experimental results.
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