孔系钻削振动信号特征波动可视化研究及其应用

摘要/Abstract

摘要： 为解决工程应用中切削参数一致的孔系加工质量一致性评估的难题，提出了一种基于振动信号特征波动可视化的聚类分析方法。首先采用振动传感器监控孔系钻削过程，提取各孔振动信号小波包能量谱和高阶统计量特征；然后利用雷达图得到各孔振动信号特征矩阵分布图，提取信号特征雷达图多边形重心特征；最后采用模糊C-均值（FCM）算法对雷达图平面重心点集进行聚类分析。理论分析结果与人工检测结果对比表明：该方法可直观呈现孔系钻削质量分布情况，简便、可靠地实现孔系钻削质量的一致性评估。

关键词: 钻削质量, 振动信号, 小波包能量谱, 高阶统计量, 雷达图, 聚类分析

Abstract: To analyse the consistency evaluation of hole series part drilling quality, a clustering analysis method was presented based on fluctuation of vibration signal features. A vibration sensor was used to monitor the drilling process, and the vibration signal wavelet packet energy spectrum and higherorder statistics features of each hole in drilling process were extracted to construct the monitoring signal characteristic matrix. Then radar chart was used to reconstruct the distribution graphs of wavelet packet energy spectrum features and highorder statistics features, and the center of gravity features were extracted from these radar charts. Finally, fuzzy Cmeans(FCM) algorithm was used to complete the clustering analyses of these center of gravity features points. By comparison, it shows that hole drilling quality distribution can be visually presented and hole drilling quality consistency evaluation can be realized simply and reliably by clustering analysis based on radar chart.

Key words: drilling quality, vibration signal, wavelet packet energy spectrum, highorder statistics, radar chart, clustering analysis

中图分类号:

TH166

周友行, 杨文佳, 谢赛元, 张俏, 章本毅. 孔系钻削振动信号特征波动可视化研究及其应用[J]. 中国机械工程.

Zhou Youhang, Yang Wenjia, Xie Saiyuan, Zhang Qiao, Zhang Benyi. Visualization of Hole Series Drilling Vibration Signal Feature Fluctuation and Its Applications[J]. China Mechanical Engineering.

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