1997 年 40 巻 3 号 p. 447-453
In this paper, a novel signal processing tool, the wavelet transform, was applied to monitor the flank wear states in turning. The wavelet transforms were implemented by FWT(fast wavelet transform)based on a QMF(quadrature mirror filter). The expansion coefficients d(j, k)with time-frequency feature obtained by FWT were used as recognition parameters of the flank wear states. The dynamic characteristics of the cutting force signals were analyzed separately using the wavelet transform and the Fourier transform. The abilities of these two transforms for analyzing and recognizing the flank wear states were compared. The experimental and analytical results show that when monitoring the flank wear states during turning, the wavelet analysis is more sensitive, more reliable and faster than the Fourier analysis.
JSME international journal. Ser. 1, Solid mechanics, strength of materials
JSME international journal. Ser. A, Mechanics and material engineering
JSME international journal. Ser. 3, Vibration, control engineering, engineering for industry
JSME international journal. Ser. C, Dynamics, control, robotics, design and manufacturing
JSME International Journal Series A Solid Mechanics and Material Engineering
JSME International Journal Series B Fluids and Thermal Engineering