Infrared spectrum analysis method for detection and early warning of longitudinal tear of mine conveyor belt
Ruiyun Yang (Taiyuan University of Technology)
Tiezhu Qiao (Taiyuan University of Technology)
Y Pang (TU Delft - Transport Engineering and Logistics)
Yi Yang (Taiyuan University of Technology)
Haitao Zhang (Taiyuan University of Technology)
Gaowei Yan (Taiyuan University of Technology)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
A novel approach based on infrared spectrum analysis for early-warning of longitudinal tearing of the conveyor belt was proposed in the paper. Unlike most existing methods, the proposed method monitors the change process of the infrared radiation field of the longitudinal tearing through the infrared thermal imaging technology, and judges whether there is the risk of the longitudinal tearing of the conveyor belt through the frequency-domain characteristic coefficient T of the infrared radiation field. Experimental results exhibit that the characteristic coefficient T can quantitatively describe the change characteristics of infrared radiation field during the tearing process of conveyor belt. When the conveyor belt is complete penetration, the T value fluctuates violently from 0.6 to 1.6. This characteristic can be used as the precursor information of the tearing process, which broadens the train of thought for identification and early warning of conveyor belt longitudinal tearing.
help_outline