Dressing Tool Condition Monitoring through Impedance-Based Sensors: Part 2—Neural Networks and K-Nearest Neighbor Classifier Approach

This paper presents an approach for impedance-based sensor monitoring of dressing tool condition in grinding by using the electromechanical impedance (EMI) technique. This method was introduced in Part 1 of this work and the purpose of this paper (Part 2) is to achieve an optimal selection of the ex...

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Detalles Bibliográficos
Autores principales: Junior, Pedro, D’Addona, Doriana M., Aguiar, Paulo, Teti, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308412/
https://www.ncbi.nlm.nih.gov/pubmed/30558357
http://dx.doi.org/10.3390/s18124453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308412/
https://www.ncbi.nlm.nih.gov/pubmed/30558357
http://dx.doi.org/10.3390/s18124453

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