Feature selection for tool wear monitoring: A comparative study

@article{Geramifard2012FeatureSF,
  title={Feature selection for tool wear monitoring: A comparative study},
  author={Omid Geramifard and Jian-Xin Xu and Jun-Hong Zhou and Xiang Li and Oon Peen Gan},
  journal={2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)},
  year={2012},
  pages={1230-1235}
}
One of the challenging tasks in the domain of Tool Condition Monitoring (TCM) is feature selection. Feature selection is crucial as extracting all possible features and creating a model based on those features results in two major disadvantages, i.e. high computational cost and inefficient complexity of the model, which leads to overfitting. In this paper… CONTINUE READING