11 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages975-980
Number of pages6
StatePublished - Dec 1 1994
EventProceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94) - St. Louis, MO, USA
Duration: Nov 13 1994Nov 16 1994

Conference

ConferenceProceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94)
CitySt. Louis, MO, USA
Period11/13/9411/16/94

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Bukkapatnam, S. T. S., Kumara, S. R. T., & Lakhtakia, A. (1994). Fractal estimation of flank wear in turning using time-delay neural networks. 975-980. Paper presented at Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94), St. Louis, MO, USA, .