Chattering detection in cylindrical grinding processes using the wavelet transform

On-line chatter detection and identification based on wavelet and support vector machine

“…In the past several years, either time series modelling (Messaoud and Weihs, 2009) or spectral analysis (Kondo et al, 1997) was used to detect chatter. Furthermore, wavelet transform (González-Brambila et al, 2006) and s-transform (Tansel et al, 2006), as time-frequency analysis methods, were also adopted for chatter detection. In addition, Cho and Eman (1988) defined feature vectors in terms of total power and dispersion of the dominant forced and chatter vibration modes extracted from linear stochastic models characterising the vibrations.…”

Characterization of machining chattering dynamics: An R/S scaling analysis approach

“…The process was determined stable if the 1/rev sampled position approached a steady constant value, otherwise the process was unstable. Chatter frequencies were also detected using wavelets [31,32]. In turn, a more sensitive detection was reached with wavelets because transient and nonlinear signals can be identified; even though interpretation of results depends on several detail coefficients.…”

A model-based approach for online estimation of surface waviness in roll grinding

“…Direct measurement of the workpiece waviness is normally carried out in postprocess by means of different contact or contactless transducers and specific profile and roundness measurement equipment (e.g., Talyrond profilers), while wheel profile measurements are less common especially in industry due to the involved complexity given by the rough and abrasive surface. Most of the times Fourier Transform, or other form of signal processing such as Wavelet Transform, are exploited [1,3] to extract significant waviness patterns. Some researchers have developed inprocess direct measuring systems (either for grinding wheel or workpiece) for real-time monitoring purposes.…”