Application of the Hilbert-Huang transform to machine tool condition/health monitoring

被引：0

作者：

Leisk, GG ^{[1
]}

Hsu, NN ^{[1
]}

Huang, NE ^{[1
]}

机构：

[1] Natl Inst Stand & Technol, Mfg Engn Lab, Gaithersburg, MD 20899 USA

来源：

REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 21A & B | 2002年 / 615卷

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The machining process is highly dynamic, involving complicated interactions between a workpiece, cutting tool, and the machine tool itself. Appropriate vibration signal analysis can provide insight into the condition of both machine and process. In this paper, the utility of a new time-frequency technique for analyzing complicated time series data, known as the Hilbert-Huang Transform (HHT), is demonstrated. Preliminary analyses of vibration signals from end-milling tests are promising for future implementation of HHT in condition/health monitoring systems.

引用

页码：1711 / 1718

页数：8

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