2024
DOI: 10.1088/2631-8695/ad6121
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Identification of end-milling chatter based on comprehensive feature fusion

Dialoke Ejiofor Matthew,
Hongrui Cao,
Jianghai Shi

Abstract: The main barrier impeding the advancement of high-speed milling is chatter, which has a detrimental effect on the dimensional accuracy and quality of the finished workpiece. A reliable and precise chatter identification method is essential to improving the quality of machining. This paper presents a novel method for chatter identification using a comprehensive feature fusion of the Short-Time Fourier Transform (STFT) and the Fourier Synchrosqueezing Transform (FSST). The Wavelet Packet Transform (WPT) was used… Show more

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