Self-organizing feature maps and hidden Markov models for machine-tool monitoring

@article{Owsley1997SelforganizingFM,
  title={Self-organizing feature maps and hidden Markov models for machine-tool monitoring},
  author={Lane M. D. Owsley and Les E. Atlas and Gary D. Bernard},
  journal={IEEE Trans. Signal Processing},
  year={1997},
  volume={45},
  pages={2787-2798}
}
Vibrations produced by the use of industrial machine tools can contain valuable information about the state of wear of tool cutting edges. However, extracting this information automatically is quite difficult. It has been observed that certain structures present in the vibration patterns are correlated with dullness. In this paper, we present an approach to extracting features present in these structures using self-organizing feature maps (SOFM’s). We have modified the SOFM algorithm in order… CONTINUE READING
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