Manufacturing quality control by means of a Fuzzy ART network trained on natural process data

Abstract

In order to produce products with constant quality, manufacturing systems need to be monitored for any unnatural deviations in the state of the process. Control charts have an important role in solving quality control problems; nevertheless, their effectiveness is strictly dependent on statistical assumptions that in real industrial applications are… (More)
DOI: 10.1016/j.engappai.2003.11.005

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Cite this paper

@article{Pacella2004ManufacturingQC, title={Manufacturing quality control by means of a Fuzzy ART network trained on natural process data}, author={Massimo Pacella and Quirico Semeraro and Alfredo Anglani}, journal={Eng. Appl. of AI}, year={2004}, volume={17}, pages={83-96} }