| Title |
Rail Surface Defect Detection System of Next-Generation High Speed Train |
| Authors |
최우용(Choi, Woo-Yong) ; 김정연(Kim, Jeong-Yeon) ; 양일동(Yang, Il-Dong) |
| DOI |
https://doi.org/10.5370/KIEE.2017.66.5.870 |
| Keywords |
Rail surface ; Defect detection system ; MLP |
| Abstract |
In this paper, we proposed the automatic vision inspection system using multi-layer perceptron to detect the defects occurred on rail surface. The proposed system consists of image acquisition part and analysis part. Rail surface image is acquired as equal interval using line scan camera and lighting. Mean filter and dynamic threshold is used to reduce noise and segment defect area. Various features to characterize the defects are extracted. And they are used to train and distinguish defects by MLP-classifier. The system is installed on HEMU-430X and applied to analyze the rail surface images acquired from Honam-line at high speed up to 300 km/h. Recognition rate is calculated through comparison with manual inspection results. |