基于监测信号边际谱和双谱特征融合的孔系钻削质量分析

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振动与冲击 ›› 2015, Vol. 34 ›› Issue (24) : 40-45.

论文

周友行, 谢赛元，谢奇，周后明

作者信息 +

Holes drilling quality consistency analysis based on the fusion of monitoring signals marginal spectrum characteristics and bispectrum characteristics

ZHOU Youhang XIE Saiyuan XIE Qi ZHOU Houming

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文章历史 +

摘要

从钻削监测信号数据中挖掘与加工质量相关的信息，可有效实现孔系钻削质量检测。本文提出一种基于融合钻削过程三向加速度振动和声发射监测信号时频特征的孔系钻削质量一致性评估方法。首先采用振动传感器和声发射传感器监控孔系钻削过程；然后对各钻孔监测信号进行Hilbert-Huang变换和高阶谱分析，提取各孔监测信号的边际谱和双谱特征；应用主成分分析方法进行特征降维，特征融合聚类分析，直观获得各钻孔钻削过程监测信号时频特征波动状况。基于钻削过程质量波动与监测信号边际谱的频率能量特征和双谱特征数值变化的耦合关系，并与孔系钻削加工人工质量检测对比表明：融合孔系钻削监测信号边际谱特征和双谱特征进行数据聚类研究可有效进行孔系加工质量的一致性检测，快速分析和识别质量异常钻孔。

Abstract

The information, which is mined from the drilling process monitoring signals data, could be helpful to inspect the holes drilling quality. This study presents a holes drilling consistency inspection method based on the fusion of monitoring signals marginal spectrum characteristics and bispectrum characteristics. At first, the three acceleration vibration sensor and acoustic emission sensor are used to monitor holes drilling process, and the Hilbert Huang transform and a high order spectrum estimation are used to analysis every hole drilling monitoring signals, so every hole’s the marginal spectrum and double spectrum features are extracted from the monitoring signals. Finally, the principal component analysis method is used to realize features dimension reduction, fusion features and features clustering, the computer conclusion show the change condition of these features directly and clear. Based on the coupling relationship between the drilling process quality fluctuation and the numerical changes of these features, and compared with the artificial quality test results of drilling hole, the result show that the data clustering research of the fusion of hole drilling monitoring signals marginal spectrum characteristics and bispectrum characteristics can realize the holes drilling quality consistency detection effectively, analysis and identify the abnormal drilling quality rapidly.

导出引用

周友行, 谢赛元，谢奇，周后明. 基于监测信号边际谱和双谱特征融合的孔系钻削质量分析[J]. 振动与冲击, 2015, 34(24): 40-45

ZHOU Youhang XIE Saiyuan XIE Qi ZHOU Houming. Holes drilling quality consistency analysis based on the fusion of monitoring signals marginal spectrum characteristics and bispectrum characteristics[J]. Journal of Vibration and Shock, 2015, 34(24): 40-45

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