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An Online System for Detecting Bending in a Pallet Car
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 152 - Number 10 |
| Year of Publication: 2016 |
| Authors: Ahmad Pouramini |
10.5120/ijca2016911835
|
Ahmad Pouramini . An Online System for Detecting Bending in a Pallet Car. International Journal of Computer Applications. 152, 10 ( Oct 2016), 1-5. DOI=10.5120/ijca2016911835
Abstract
Image processing techniques are widely used to detect defects in industrial equipment. In this paper, an online system is presented to detect bending in pallet cars of a travelling grate conveyor used in sintering machines. If bending in several pallet cars exceeds a specified limit, it can stop the production line. Therefore, an early and precise diagnosis is required. The system consists of a camera in a specific position to monitor the pallet cars and provide an online video. A method is presented to detect and extract an appropriate image of a pallet car from this video. The image is then processed to detect bending of the pallet car’s middle frame and measure the degree of bending. Particularly, edge detection methods and Hough transform are used to locate and measure the curvature. The experimental results show a precision of 98% and a recall of 100% for the detection method.
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