Tytuł artykułu

A grinding surface roughness class recognition combining red and green information

Tytuł czasopisma

Metrology and Measurement Systems

Rocznik

2023

Wolumin

vol. 30

Numer

No 4

Autorzy

Huang, Jiefeng ; Yi, Huaian ; Fang, Runji ; Song, Kun

Afiliacje

Huang, Jiefeng : Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology), Guilin, China, 541006 ; Yi, Huaian : Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology), Guilin, China, 541006 ; Fang, Runji : Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology), Guilin, China, 541006 ; Song, Kun : Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology), Guilin, China, 541006 ; Huang, Jiefeng : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China, 541006 ; Yi, Huaian : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China, 541006 ; Fang, Runji : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China, 541006 ; Song, Kun : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, China, 541006

Słowa kluczowe

roughness measurement ; convolutional neural network ; red and green information

Wydział PAN

Nauki Techniczne

Zakres

689-702

Wydawca

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Data

19.11.2023

Typ

Article

Identyfikator

DOI: 10.24425/mms.2023.147959 ; eISSN 2300-1941