1. 兰州交通大学 机构 机电工程学院,甘肃,兰州,730070
2. 兰州交通大学 自动化与电气工程学院,甘肃,兰州,730070
纸质出版:2017
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艾广, 张金敏, 王思明, 冯映科. 基于Hough变换的挡键丢失故障识别方法[J]. 微电子学与计算机, 2017, 34(3): 90-94.
AI Guang, ZHANG Jin-min, WANG Si-ming, et al. Fault Recognition Method for Bogie Block Key Losing Based on Hough Transform[J]. 2017, 34(3): 90-94.
为了检测货车运行故障动态检测系统(Trouble of Moving Freight Car Detection System
TFDS)中的挡键丢失故障
提出一种基于Hough变换的挡键丢失故障识别方法.首先采用改进的随机Hough变换提取轮轴和端点的特征
依据轮轴、端点、挡键之间的几何关系建立数学模型标定感兴趣区域(ROI)
然后计算ROI的相对梯度直方图特征
利用角度距离相似性度量实现挡键丢失故障的识别.实验结果表明
该方法可以识别不同类型转向架的挡键丢失故障
同时平均故障识别率达到94%.
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%.
王敏. 货车底部手把和拉杆的故障识别算法研究[D]. 武汉: 华中科技大学, 2012.
周封, 杨超, 王晨光, 等. 基于随机Hough变换的复杂条件下圆检测与数目辨识[J]. 仪器仪表学报, 2013, 34(3): 622-628. DOI: 622
张江鑫, 沈小兰, 王辉, 等. 快速随机Hough变换多直线检测算法[J]. 浙江工业大学学报, 2013, 41(3): 346-350. DOI: 346
胡彦冰. 货车故障图像显著特征识别算法研究[D]. 武汉: 华中科技大学, 2012.
孙国栋, 徐威, 梁永强, 等. 基于形状上下文的列车挡键丢失图像识别算法[J]. 铁道科学与工程学报, 2014, 11(6): 127-131. DOI: 127
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
孟德欣, 谢二莲. 基于Hough变换的汽车零件中圆形检测的改进算法[J]. 计算机工程与应用, 2015, 51(11): 172-174. DOI: 172
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
王红茹, 丁文. 一种改进的基于对称性的Hough变换圆检测算法[J]. 微电子学与计算机, 2014, 31(6): 121-124. DOI: 121
康文静, 丁雪梅, 崔继文, 等. 基于改进Hough变换的直线图形快速提取算法[J]. 光电工程, 2007, 34(3): 105-108. DOI: 105
杨利平, 李丙海. 鉴别相对梯度直方图特征提提取与分类方法[J]. 中国科技论文在线, 2014, 9(1): 108-116. DOI: 108
蒋宜勤, 周基贤, 闵涛, 等. 基于Hough变换的矿物薄片图像线特征检测方法[J]. 微电子学与计算机, 2015, 32(8): 120-124. DOI: 120
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