Analysis of signals for monitoring of nonlinear and non-stationary machining processes

NCUIR > Engineering College > Departmant of Mechanical Engineering > journal & Dissertation > Item 987654321/50044

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/50044

Title:	Analysis of signals for monitoring of nonlinear and non-stationary machining processes
Authors:	Kalvoda,T;Hwang,YR
Contributors:	機械工程學系
Keywords:	FORCE
Date:	2010
Issue Date:	2012-03-27 17:02:02 (UTC+8)
Publisher:	國立中央大學
Abstract:	An investigation of cutting process monitoring based on dynamic force and acceleration signals in the frequency and time-frequency domains is presented in this paper. The performance of a new data analysis technique, the Hilbert-Huang Transform (HHT), is used to analyze this process in frequency and time-frequency domain. This technique is also compared with the traditional Fourier transform method power spectra in the frequency domain approach. A comparison is made of the analysis of two commonly used signals: acceleration and dynamic force. The shift of the main frequency peak into lower frequencies and higher frequency fluctuations is considered as a cutter tool wear indicator. The appearance of new frequency indicates a cutter tool fault. The performance of dynamic cutting force signal using both HHT and Fourier transform shows better results within this study. The HHT (which deals with nonlinear and non-stationary signals) has been shown to be a robust tool for estimating cutter tool wear/fault. (C) 2010 Elsevier B.V. All rights reserved.
Relation:	SENSORS AND ACTUATORS A-PHYSICAL
Appears in Collections:	[Departmant of Mechanical Engineering ] journal & Dissertation

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