Research on visible light and infrared vision real‐time detection system for conveyor belt longitudinal tear-Reference-Cited by-同舟云学术

Research on visible light and infrared vision real‐time detection system for conveyor belt longitudinal tear

Published:2016-09 Issue:6 Volume:10 Page:577-584
ISSN:1751-8830
Container-title:IET Science, Measurement & Technology
language:en
Short-container-title:IET Science, Measurement & Technology

Author:

Qiao Tiezhu¹,Liu Weili¹,Pang Yusong²,Yan Gaowei³

Affiliation:

1. Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education and Shanxi ProvinceTaiyuan University of TechnologyTaiyuan030024People's Republic of China

2. Section of Transport Engineering and Logistics, Faculty of MechanicalDelft University of Technology2628CD DelftThe Netherlands

3. College of Information EngineeringTaiyuan University of TechnologyTaiyuan030024People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2015.0297

Reference23 articles.

1. Infrared spectra imaging mechanism and modelling of the transport of hazard belt;Qiao T.;Mater. Res. Innov.,2015

2. Monitoring system for steel‐reinforced conveyor belts;Harrison A.;J. Eng. Ind.,1986

3. Fromme C.C. Stager D.J. Pilarski T.E.et. al. : ‘Conveyor belt inspection system and method’ US Patent 6988610 January2006

4. Di S.: ‘Ultrasonic inspection system development of conveyer belt surface based on FPGA’ Master's thesis East China University of Science and Technology 2014

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Visual damage detection technology for conveyor belts in coal-fired power plants;2024 3rd International Conference on Energy and Power Engineering, Control Engineering (EPECE);2024-02-23

2. Wear State Detection of Conveyor Belt in Underground Mine Based on Retinex- YOLOv8-EfficientNet-NAM;IEEE Access;2024

3. A New Knowledge-Distillation-Based Method for Detecting Conveyor Belt Defects;Applied Sciences;2022-10-06

4. Damage Detection Method of Mining Conveyor Belt Based on Deep Learning;IEEE Sensors Journal;2022-06-01

5. Belt Tear Detection for Coal Mining Conveyors;Micromachines;2022-03-17