In order to detect the losing fault of the bogie block key(BBK) in trouble of moving freight car detection system (TFDS)
an fault recognition method for BBK losing was proposed based on Hough transform. Firstly
the improved randomized Hough transform is used to extract the feature of the axle and the endpoint. Based on the geometric relationship between the axle
the endpoint and the BBK
the mathematical model is established to calibrate the region of interest (ROI). Then the relative gradient histogram features of ROI are calculated
and the recognition of the losing fault of the BBK is realized by using the angular distance similarity measure. Experiment results demonstrate that the proposed method can recognize the fault of BBK losing on different types of bogie
and the average fault recognition accuracy reaches 94%.
Lianyuan Jiang. Efficient randomized Hough transform for circle detection using novel probability sampling and feature points[J]. Optik-International Journal for Light and Electron Optics, 2012, 123(20): 1834-1840. DOI: 1834
Guodong Sun, Wei Feng, Daxing Zhao, et al. An automatic fault recognition method for side frame key in TFDS[J]. The Open Mechanical Engineering Journal, 2015, 9(1): 22-27. DOI: 22
Priyanka M, Bidyut B C. A survey of Hough transform[J]. Pattern Recognit, 2015, 3(48): 993 -1010. DOI: 993