Výsledky vyhledávání - "Guilherme P. C. de Miranda"

Classification of Lathe’s Cutting Tool Wear Based on an Autonomous Machine Learning Model

Autor: Alexandre F. Dutra, Guilherme P. C. de Miranda, Matheus P. Antunes, Eduardo Pestana de Aguiar, Thiago E. Fernandes, Matheus A. M. Ferreira, Marcos V. G. R. da Silva

Publikováno v: Journal of Control, Automation and Electrical Systems. 33:167-182

Machining processes are of considerable significance to industries such as aviation, power generation, oil, and gas since a significant part of the industrial mechanical components went through a machining process during its manufacturing. Therefore,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f440acd5075aeaa8a3fc2349288b929a
https://doi.org/10.1007/s40313-021-00819-5

Zobrazit plný text záznamu

An Autonomous Model to Classify Lathe's Cutting Tools Based on TSFRESH, Self-Organised Direction Aware Data Partitioning Algorithm and Machine Learning Techniques

Autor: Thiago E. Fernandes, Eduardo Pestana de Aguiar, Guilherme P. C. de Miranda, Alexandre F. Dutra, Matheus P. Antunes, Matheus A. M. Ferreira, Marcos V. G. R. da Silva

Publikováno v: Anais do Congresso Brasileiro de Automática 2020.

The machining processes are of major importance to industries, due to the factthat these processes take part in the manufacturing of a substantial portion of mechanicalcomponents. Hence, during these processes, operational interruptions and accidents

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4bb4c4b8e0777448b161ac2fc9198bab
https://doi.org/10.48011/asba.v2i1.1092

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání