Wavelets Analysis on the Feature Collection and the Influencing Factors of the Surface Roughness in Vibratory Machining

Transformations in machining. Part 1. enhancement of wavelet transformation neural network (WT-NN) combination with a preprocessor

“…Depending on the application, the multi-resolution characteristics and time domain information of the WT could be very useful. It has been widely used for the detection of tool breakage and the estimation of wear in machining operations [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. The compact representations of WT easily reduce the data size to 1/8th or less and carry the information about a large frequency range.…”