Application of the Hilbert-Huang Transform to Machine Tool Condition/Health Monitoring
Gary G. Leisk, Nelson N. Hsu, N E. Huang
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.