Belt conveyor idler fault detection algorithm based on improved YOLOv5
Abstract The rapid expansion of the coal mining industry has introduced significant safety risks, particularly within the harsh environments of open-pit coal mines. The safe and stable operation of belt conveyor idlers is crucial not only for ensuring efficient coal production but also for safeguard...
Saved in:
Main Authors: | Cen Pan, Qing Tao, Hao Pei, Biao Wang, Wei Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-81244-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Review of Fault Detecting Devices for Belt Conveyor Idlers
by: Fahad Alharbi, et al.
Published: (2024-03-01) -
Tomato yellow leaf curl virus detection based on cross-domain shared attention and enhanced BiFPN
by: Henghui Mo, et al.
Published: (2025-03-01) -
Analysis and Determination of Idler Spacing of Pipe Belt Conveyor
by: Qiu Shengdong, et al.
Published: (2018-01-01) -
Intelligent monitoring method for conveyor belt misalignment based on deep learning
by: ZUO Mingming, et al.
Published: (2024-12-01) -
Longitudinal Vibration and Stability Analysis of Conveying Belt of Belt Conveyor
by: Man Zhang, et al.
Published: (2020-08-01)