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

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 tec...

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Bibliographic Details
Main Authors: Leisk, Gary G, Hsu, Nelson N, Huang, Norden E
Format: Conference Proceeding
Language:English
Online Access:Get full text
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Summary: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. (Author)
ISSN:0094-243X