基于HHT的数控机床主轴振动监测系统的研制

万海波;杨世锡

振动与冲击 ›› 2014, Vol. 33 ›› Issue (6) : 48-52.

PDF(1279 KB)
PDF(1279 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (6) : 48-52.
论文

基于HHT的数控机床主轴振动监测系统的研制

  • 万海波1,杨世锡2

作者信息 +

Development of HHT-based vibration monitoring system for NC spindle

  • WAN Hai-bo 1,YANG Shi-xi 2
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文章历史 +

摘要

为监测数控机床主轴的运行状态,针对机床主轴在工况条件变化或故障发生时振动信号的非平稳特性,研制基于HHT时频分析方法的数控机床主轴振动监测软、硬件系统。硬件系统包括基于FPGA主控模块与PC104总线的数据采集模块;软件系统包括时域波形监测与特征数据监测两模块,其中特征数据监测模块具有监测频谱分布及时频分布功能。为更直观、准确反映数控机床主轴振动信号的非平稳特性,提出基于HHT的主轴振动信号特征提取方法,实现对振动信号时频分布的实时监测。数控机床主轴振动信号测试结果表明,该系统在监测信号时域波形与频谱分布的同时,能利用HHT的瞬时频率描述特性,实现对数控机床主轴振动信号时频分布的实时监测。

Abstract

A HHT-based vibration monitoring system, consisting both of the software and the hardware system, was designed and implemented according to the non-stationary nature of the vibration signal from NC spindle. The hardware system concerns with the development of the data acquisition module based on FPGA and PC104 bus, and the software system includes both the monitoring module of time domain wave and the counterpart of the characteristic data. The function of characteristic data monitoring is divided into two parts, i.e., the spectrum distribution monitoring and the time-frequency distribution monitoring. In order to reflect the non-stationary characteristic of the vibration signal from NC spindle more accurate, a data analysis approach, named the Hilbert-Huang Transform (HHT), was introduced into the developed system. Test and analysis of the vibration signal show that the vibration monitoring system not only can characterize the time domain wave and the spectrum distribution, but also can implement the tracing of the time-frequency distribution through HHT’s superiority in characterizing instantaneous frequency.


关键词

数控机床主轴 / 监测系统 / 非平稳特性 / 时频分布 / 希尔伯特-黄变换

Key words

NC spindle / monitoring system / non-stationary characteristics / time-frequency distribution / Hilbert-Huang transform

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导出引用
万海波;杨世锡. 基于HHT的数控机床主轴振动监测系统的研制[J]. 振动与冲击, 2014, 33(6): 48-52
WAN Hai-bo;YANG Shi-xi . Development of HHT-based vibration monitoring system for NC spindle[J]. Journal of Vibration and Shock, 2014, 33(6): 48-52

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