AN ON-LINE DETECTION METHOD FOR CONVEYOR BELT DEVIATION FAULTS

被引：1
|
作者：
Liu, Mingsheng [3 ]
Mei, Xiuzhuang [1 ,2 ]
Sun, DongMing [3 ]
Zhang, Jian [3 ]
Chen, Zelin [2 ]
机构：
[1] Inner Mongolia Univ Technol, Sch Mech Engn, Hohhot, Peoples R China
[2] Inner Mongolia Dazhi Energy Technol Co Ltd, Hohhot, Peoples R China
[3] Inner Mongolia Daban Power Generat Co Ltd, Chifeng, Peoples R China
来源：
THERMAL SCIENCE | 2023年 / 27卷 / 3A期
关键词：
conveyor belt; deviation; adaptive segmentation; machine vision;
D O I：
10.2298/TSCI2303099L
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
The conveyor belt deviation occurs frequently, and it will finally lead to an acci-dent, so its detection has triggered skyrocketing attention from both industry and academia. In this paper, an adaptive segmentation model and a belt offset quanti-fication model are established for continuous online detection of the conveyor belt deviation status. The results show that the degree of the conveyor belt devia-tion can be quantitatively calculated and its deviation status can be objectively evaluated. This technology has opened the path for a new way to on-line continu-ously detect the conveyor belt deviation.
引用
收藏
页码：2099 / 2107
页数：9
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