Thermal infrared imaging for conveyor roller fault detection in coal mines.

ABSTRACT: As a key mechanism of belt conveyor, the health status and working state of its parts have a profound impact on whether the belt conveyor can run normally and safely. In the composition of the standard belt conveyor, the number of rollers is numerous and scattered. At the same time, under the complex environment of the work site, the fault detection of each roller is particularly difficult. In order to solve the above problems, a diagnosis method based on thermal infrared image features is proposed to detect the faults of each roller mechanism in the belt conveyor. Firstly, the position of the idler is identified based on the YOLOv4 identification method, and then the sticking resistance and bearing damage of the idler are detected based on the temperature difference discrimination method.

SUBMITTER: Xiuyu Y 

PROVIDER: S-EPMC11262629 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature