欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为防止受电弓滑板出现裂纹而造成重大弓网事故,针对电气化铁路受电弓滑板裂纹自动检测问题进行研究。算法以二代曲波变换为基础,通过研究曲波分解的方向性及各向异性特点,提出一种曲波系数定向映射（CCDP）算法。CCDP变换将分布在多个曲波分解角度矩阵中的高维信息变换到一个单一的二维矩阵中,从而将受电弓滑板上各种图形元素及其相互关系明确地显示出来。通过分析受电弓滑板CCDP变换矩阵,可区分并逐步排除滑板边界提取缺陷、滑板接缝以及滑板划痕的干扰,最终可判断滑板裂纹信息。实验证明,基于CCDP的受电弓滑板裂纹提取方法能够较好获得裂纹信息,可为完善受电弓视频在线监控系统提供一种方案。
英文摘要：
The pantograph slide cracks detection technology is studied to avoid accidents aroused by pantograph slide cracks.On the basis of the 2nd generation curvelet transform,the new curvelet coefficients directional projection（CCDP） algorithm is proposed after analyzing directivity and anisotropy of the curvelet.The high dimension information distributed in different curvelet transform angle matrixes is projected to the single 2-dimension matrix by using CCDP transform,so that the image elements and the relationship between them are displayed explicitly.Through analyzing the CCDP transform matrix of the pantograph slide,the images of the slide edge partition defects,slide scratches and slide joints in the pantograph slide can be distinguished and excluded gradually so that judgement of slide cracks can be completed finally.The experiment shows that the detection method of the pantograph slide cracks based on CCDP transform is able to acquire better slide crack information and to provide a new solution for pantograph online monitoring.
同期刊论文项目
同项目期刊论文
A New Classification Method for Transient Power Quality Combining Spectral Kurtosis with Neural Netw
期刊信息
位置：