Cargando…
A New Bolt Defect Identification Method Incorporating Attention Mechanism and Wide Residual Networks
Bolts are important components on transmission lines, and the timely detection and exclusion of their abnormal conditions are imperative to ensure the stable operation of transmission lines. To accurately identify bolt defects, we propose a bolt defect identification method incorporating an attentio...
Autores principales: | Liu, Liangshuai, Zhao, Jianli, Chen, Ze, Zhao, Baijie, Ji, Yanpeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572959/ https://www.ncbi.nlm.nih.gov/pubmed/36236514 http://dx.doi.org/10.3390/s22197416 |
Ejemplares similares
-
A New Orientation Detection Method for Tilting Insulators Incorporating Angle Regression and Priori Constraints
por: Zhao, Jianli, et al.
Publicado: (2022) -
Bolt Installation Defect Detection Based on a Multi-Sensor Method
por: An, Shizhao, et al.
Publicado: (2023) -
Smart Sensing Using Electromagnetic Waves for Inspection of Defects in Rock Bolts
por: Yu, Jung-Doung, et al.
Publicado: (2020) -
Genome-Wide Identification of the NF-Y Gene Family and Their Involvement in Bolting and Flowering in Flowering Chinese Cabbage
por: Jiang, Zhehao, et al.
Publicado: (2023) -
Spectrum Sensing Method Based on Residual Dense Network and Attention
por: Wang, Anyi, et al.
Publicado: (2023)