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Application of the Hilbert-Huang Transform to Machine Tool Condition/Health Monitoring

Published

Author(s)

Gary G. Leisk, Nelson N. Hsu, N E. Huang

Abstract

Machine tools generate significant vibration levels during operation due to the dynamic nature of the machine and cutting process. With appropriate vibration signal analysis, one can learn a great deal about machine health. In this paper, the utility of a new time-frequency analytical technique, known as Empirical Mode Decomposition/Hilbert-Huang Transform (EMD/HHT) analysis, in analyzing complicated time series data is demonstrated. Preliminary results involving analysis of vibration signals from CNC milling are very promising for implementation in condition/health monitoring systems.
Citation
Annual Review of Progress in Quantative NDE
Volume
No. 615 B

Keywords

Empirical Mode Decomposition, Hilbert transform, machine tool, time-frequency

Citation

Leisk, G. , Hsu, N. and Huang, N. (2001), Application of the Hilbert-Huang Transform to Machine Tool Condition/Health Monitoring, Annual Review of Progress in Quantative NDE (Accessed July 20, 2024)

Issues

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Created February 1, 2001, Updated February 19, 2017