Fault Automatic Detection Method for Steel Cord Conveyor Belt Based on the Regularity Analysis

Author(s):  
Li XianGuo ◽  
Miao ChangYun ◽  
Wang Wen ◽  
Zhang Yan
2013 ◽  
Vol 411-414 ◽  
pp. 1218-1221
Author(s):  
Yan Zhang ◽  
Wei Gong ◽  
Wei Liang Zhong

A method based on Gabor filter bank is presented to automatically detect the steel cord conveyor belt fault. Firstly, multi-channel filtering is implemented by Gabor filters. Then the characteristic differential and fusion images are calculated. Finally, the fault images are identified by white pixels statistics after the threshold segmentation. The results show that this method has good detection result for steel cord conveyor belt fault.


2010 ◽  
Vol 455 ◽  
pp. 516-520
Author(s):  
Y.N. Yun ◽  
H.M. Zhang ◽  
C.J. Li

Steel core belts are widely used in long-distance, large capacity, large angle of mine, metallurgy, port, electricity and other departments of the large-scale transportation systems. According to incomplete statistics, this kind of belt accident 93.75% occurred in the joints and most are due to joints tic was not timely detected. Hence, non-destructive detection of belt is the key to the whole transportation system’s safety. For steel core belt automatic detection technology, deep research has been carried out at home and abroad. Detection apparatus was developed based on the electromagnetic theory and principle of X-ray, however, some varying defects existed in the industrial applications. Automatic detection apparatus of steel cord conveyor belt, developed by Pingdingshan Industry Polytechnic College and Shanxi Huaning Beier Measurement & Control Co. Ltd., integrated both advantages of electromagnetic detection and X-ray detection. It overcomes the difficulties of X-ray machine explosion proof and long time radiation. This kind of automatic detection apparatus has been installed and worked well in more than 30 mines and achieved good economic and social benefits since it was installed in Zhong Ping Energy Chemical Group’s 12th main slope conveyor.


2014 ◽  
Vol 8 (1) ◽  
pp. 685-689
Author(s):  
Chunqing Ye ◽  
Changyun Miao ◽  
Xianguo Li ◽  
Yanli Yang

In this research, we studied the fault recognition algorithm of steel cord conveyor belt, and obtained the wire ropes image by adopting the detection system of steel cord conveyor belt, so that the fault recognition algorithm of steel cord conveyor belt was proposed based on Fruit fly optimization algorithm. As we know that the fruit fly optimization algorithm is used for fault detection of the processing steel cord conveyor belt image and for obtaining the fault image. In the MATLAB environment, the algorithm process was designed and verified in terms of the effectiveness and accuracy. The experimental results show that with fast speed and high accuracy in detecting the fault image of steel cord conveyor belt rapidly and accurately, and in classifying scratch from fracture the proposed algorithm is suitable for the fault recognition of steel cord conveyor belt automatically.


2019 ◽  
Author(s):  
Jinxiong Zhao ◽  
Bo Zhao ◽  
Yanbin Zhang ◽  
Zhiru Li ◽  
Hui Yuan ◽  
...  

Author(s):  
Toyoaki Tanoue ◽  
Satoshi Nakano ◽  
Hyoungseop Kim ◽  
Joo kooi Tan ◽  
Seiji Ishikawa ◽  
...  

1999 ◽  
Vol 76 (2) ◽  
pp. 606-617 ◽  
Author(s):  
Heping Cheng ◽  
Long-Sheng Song ◽  
Natalia Shirokova ◽  
Adom González ◽  
Edward G. Lakatta ◽  
...  

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