CONVEYOR BELT DAMAGE DETECTION UNDER MULTI-SOURCE ENVIRONMENTAL INTERFERENCES BASED ON ENHANCED FEATURE EXTRACTION NETWORK, 361-373.

Belt conveyors are one of the key transportation equipment forcontinuously conveying bulk materials in bulk cargo terminals, andtheir complex operational environments pose challenges for real-timevisual detection of conveyor belt damage.

Authors

Publication Details

Journal
International Journal of Robotics and Automation
Published
2025-01-01
DOI
https://doi.org/10.2316/j.2025.206-1203
Primary Topic
Belt Conveyor Systems Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

CONVEYOR BELT DAMAGE DETECTION UNDER MULTI-SOURCE ENVIRONMENTAL INTERFERENCES BASED ON ENHANCED FEATURE EXTRACTION NETWORK, 361-373.

Hui Sun, Zhihui Hu, Le Qiang, Yueying Wang et al.
International Journal of Robotics and Automation
Belt Conveyor Systems Engineering
article

CONVEYOR BELT DAMAGE DETECTION UNDER MULTI-SOURCE ENVIRONMENTAL INTERFERENCES BASED ON ENHANCED FEATURE EXTRACTION NETWORK, 361-373.

Hui Sun, Zhihui Hu, Le Qiang, Yueying Wang, Qiao Zhou, Yu Tian
article en

Abstract

Belt conveyors are one of the key transportation equipment forcontinuously conveying bulk materials in bulk cargo terminals, andtheir complex operational environments pose challenges for real-timevisual detection of conveyor belt damage.

International Journal of Robotics and AutomationVol. 40(5)
Openalex Percentile: Top 86%
Belt Conveyor Systems Engineering
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