Fractal estimation of flank wear in turning using time-delay neural networks
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This paper proposes an on-line tool wear estimation paradigm based on combining neural networks and fractal analysis. The fractal properties of the sensor signal are related with tool wear in turning operation. The results of simulation experiments reveal the potentials of the new paradigm.