Analysis of Transient Signal using Hilbert-Huang Transform for Chatter Monitoring in Turning Process

Machining of railway components is necessary to be controlled because this process requires precise accuracy and high surface finish of the final product. However, chatter vibration can be an obstacle that leads to negative effects. One of the ways for chatter monitoring in machining is by vibration signal analysis. In this paper, transient vibration signals are analyzed using Hilbert-Huang (HHT) transform and compare to STFT. The results show the excellence of HHT for analysis transient signals for chatter vibration identification correctly in turning process. Frequency transition between frequency of rotational spindle and chatter frequency is well captured using HHT, but STFT is trouble for capturing that one. Besides, the EMD (empirical mode decomposition) process of HHT separated out non-chatter from chatter signals.