Longitudinal tear early-warning method for conveyor belt based on infrared vision

Measurement ◽  
2019 ◽  
Vol 147 ◽  
pp. 106817 ◽  
Author(s):  
Yi Yang ◽  
Chengcheng Hou ◽  
Tiezhu Qiao ◽  
Haitao Zhang ◽  
Ling Ma
Measurement ◽  
2020 ◽  
Vol 165 ◽  
pp. 107856 ◽  
Author(s):  
Ruiyun Yang ◽  
Tiezhu Qiao ◽  
Yusong Pang ◽  
Yi Yang ◽  
Haitao Zhang ◽  
...  

Measurement ◽  
2019 ◽  
Vol 143 ◽  
pp. 246-257 ◽  
Author(s):  
Chengcheng Hou ◽  
Tiezhu Qiao ◽  
Haitao Zhang ◽  
Yusong Pang ◽  
Xiaoyan Xiong

Measurement ◽  
2021 ◽  
Vol 176 ◽  
pp. 109152
Author(s):  
Jian Che ◽  
Tiezhu Qiao ◽  
Yi Yang ◽  
Haitao Zhang ◽  
Yusong Pang

2013 ◽  
Vol 443 ◽  
pp. 155-159 ◽  
Author(s):  
Wu Zhao

This paper, based on an analysis into the approaches, at home and abroad, of the conveyor belt joint monitoring, provides an in-depth investigation into the causes and conditions of the belt conveyor tension overload and fractures, finding that the fractures of the joint are random, and are among the most frequently occurring problems, along with steel-cordbelt conveyor belt deviation, drum slipping, roller life, fire, and the steel-cored belt longitudinal tearing etc Therefore, based on the fact that the joint length can be measured by detecting its tension with an senor, this paper investigates the technology of belt joint monitoring by means of the F-L curve,, so as to provide an early warning. This method the system practice shows that: the technology has good application value in production and application, has the vital significance to the enterprise safety production.


2017 ◽  
Vol 11 (7) ◽  
pp. 955-960 ◽  
Author(s):  
Tiezhu Qiao ◽  
Xinyu Li ◽  
Yusong Pang ◽  
Yuxiang Lü ◽  
Feng Wang ◽  
...  

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 120202-120213
Author(s):  
Chengcheng Hou ◽  
Tiezhu Qiao ◽  
Meiying Qiao ◽  
Xiaoyan Xiong ◽  
Yi Yang ◽  
...  

2014 ◽  
Vol 945-949 ◽  
pp. 2082-2088
Author(s):  
Ming Min Zhang ◽  
Peng Hui Li

For conveyor belt vertical tear fault, in order to shoot image the high speed camera of gigabit network which used in industry is used in this paper. And every frame image is transferred to PC, whether the image tear in the PC will be identified. Compare with the identifying tape image which is transferred to the PC of longitudinal tear in average filtering and median filtering is studied in this paper, to obtain the best way to detecting tear, and using C# language which is under Visual Studio to write image collection, processing, time-frequency transformation and recognition programs.


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