Cargando…
Detecting Teeth Defects on Automotive Gears Using Deep Learning
Gears are a vital component in many complex mechanical systems. In automotive systems, and in particular vehicle transmissions, we rely on them to function properly on different types of challenging environments and conditions. However, when a gear is manufactured with a defect, the gear’s integrity...
Autores principales: | Allam, Abdelrahman, Moussa, Medhat, Tarry, Cole, Veres, Matthew |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707117/ https://www.ncbi.nlm.nih.gov/pubmed/34960573 http://dx.doi.org/10.3390/s21248480 |
Ejemplares similares
-
A Real-Time Inspection System for Industrial Helical Gears
por: Idzik, Thomas, et al.
Publicado: (2023) -
Defect detection of gear parts in virtual manufacturing
por: Xu, Zhenxing, et al.
Publicado: (2023) -
Grinding Temperature and Surface Integrity of Quenched Automotive Transmission Gear during the Form Grinding Process
por: Jiang, Xiaoyang, et al.
Publicado: (2022) -
A Hybrid Strategy for Profile Measurement of Micro Gear Teeth
por: Huang, Guangyao, et al.
Publicado: (2023) -
Deep Learning Tone-Mapping and Demosaicing for Automotive Vision Systems
por: Stojkovic, Ana, et al.
Publicado: (2023)