Side Plate Offset Detection of Grate Trolley Based on LSD Algorithm

Yueming Wang; Zhenru Li; Rongqing Zhai; Liangrui Fang; Bo Chen

doi:10.3788/LOP202158.0815001

[1] Gao Y H, Zhang Y M, Tang J. Brief introduction of chain-comb machine[J]. Mechanical Engineering & Automation, 109-110(2008).

[2] Yao T S. Comprehensive utilization of the travelling grate machine and analyzing of the main parts[D]. Dalian: Dalian University of Technology(2014).

[3] Yi L G. Failure analysis and improvement research of chain grate parts Xi'an: Xi'an University of Architecture and[D]. Technology(2013).

[4] Ding T Y, Tong Y, Da Z H et al. Chain grate side plate offset detection mechanism: 203345683U[P](2013).

[5] Zhang S H, Huang X, Luo Z B et al. Drying grate accident switch: 207649355U[P](2018).

[6] Guo Q F, Bao C S, Feng B Z et al. Pellet chain grate side plate state detection device: 209027286U[P](2019).

[7] Jin J T, Yang X Q, Li W G et al. Drying grate autoalarm: 207035831U[P](2018).

[8] Hao Y, Geng P, Wen Q H et al. Research on image processing and pattern recognition of skew defect of antifriction bearing cage[J]. Chinese Journal of Scientific Instrument, 40, 162-169(2019).

[9] Park J K, Kwon B K, Park J H et al. Machine learning-based imaging system for surface defect inspection[J]. International Journal of Precision Engineering and Manufacturing-Green Technology, 3, 303-310(2016).

[10] Shen X H, Li Z H, Li M et al. Aluminum surface-defect detection based on multi-task deep learning[J]. Laser & Optoelectronics Progress, 57, 101501(2020).

[11] Luo Q W, He Y G. A cost-effective and automatic surface defect inspection system for hot-rolled flat steel[J]. Robotics and Computer-Integrated Manufacturing, 38, 16-30(2016).

[12] Chen Y J, Tsai J C, Hsu Y C. A real-time surface inspection system for precision steel balls based on machine vision[J]. Measurement Science and Technology, 27, 074010(2016).

[13] Yu J B, Lu X L. Wafer map defect detection and recognition using joint local and nonlocal linear discriminant analysis[J]. IEEE Transactions on Semiconductor Manufacturing, 29, 33-43(2016).

[14] Li D J, Li R H. Mug defect detection method based on improved faster RCNN[J]. Laser & Optoelectronics Progress, 57, 041515(2020).

[15] Jian C X, Gao J, Ao Y H. Automatic surface defect detection for mobile phone screen glass based on machine vision[J]. Applied Soft Computing, 52, 348-358(2017). http://www.sciencedirect.com/science/article/pii/S1568494616305531

[16] von Gioi R G, Jakubowicz J, Morel J M et al. LSD: a line segment detector[J]. Image Processing on Line, 2, 35-55(2012). http://www.ingentaconnect.com/content/doaj/21051232/2012/00000002/00000001/art00004

[17] Zheng H J, Zhong B J. Overview and evaluation of image straight line segment detection algorithms[J]. Computer Engineering and Applications, 55, 9-19(2019).