针对智能变电站保护装置故障录波文件无通道标识信息、难以与同源通道故障录波器录波文件相互对应的问题,提出一种基于快速动态时间规整(fast dynamic time warping,FDTW)算法的故障录波数据智能比对方法。首先,对各厂站提取的故障录波...针对智能变电站保护装置故障录波文件无通道标识信息、难以与同源通道故障录波器录波文件相互对应的问题,提出一种基于快速动态时间规整(fast dynamic time warping,FDTW)算法的故障录波数据智能比对方法。首先,对各厂站提取的故障录波数据进行异常检测,确保故障录波文件中数据的质量。其次,利用拉格朗日插值法进行采样频率转换,解决保护装置与故障录波器采样频率不一致的问题。然后,利用欧氏距离对同源录波文件数据进行波形一致性对齐,以实现时钟同步。最后,使用FDTW算法对无通道标识信息的故障录波数据进行智能比对。算例分析表明,该方法能够对故障录波数据进行一致性处理,可以快速准确地计算待匹配录波波形的相似度,实现同源通道的录波数据匹配,具备较强的稳定性和实时性。展开更多
The comprehensive utilization of wood is the main goal of log cutting,but knot defects increase the diffi-culty of rationally optimizing cutting.Due to the lack of real shape data of knot defects in logs,it is diffi c...The comprehensive utilization of wood is the main goal of log cutting,but knot defects increase the diffi-culty of rationally optimizing cutting.Due to the lack of real shape data of knot defects in logs,it is diffi cult for detection methods to establish a correlation between signal and defect morphology.An image-processing method is proposed for knot inversion based on distance regularized level set segmentation(DRLSE)and spatial vertex clustering,and with the inversion of the defects existing relative board position in the log,an inversion model of the knot defect is established.First,the defect edges of the top and bottom images of the boards are extracted by DRLSE and ellipse fi tting,and the major axes of the ellipses made coplanar by angle correction;second,the coordinate points of the top and bottom ellipse edges are extracted to form a spatial straight line;third,to solve the intersection dispersion of spatial straight lines and the major axis plane,K-medoids clustering is used to locate the vertex.Finally,with the vertex and the large ellipse,a 3D cone model is constructed which can be used to invert the shape of knots in the board.The experiment was conducted on ten defective larch boards,and the experimental results showed that this method can accurately invert the shapes of defects in solid wood boards with the advantages of low cost and easy operation.展开更多
文摘针对智能变电站保护装置故障录波文件无通道标识信息、难以与同源通道故障录波器录波文件相互对应的问题,提出一种基于快速动态时间规整(fast dynamic time warping,FDTW)算法的故障录波数据智能比对方法。首先,对各厂站提取的故障录波数据进行异常检测,确保故障录波文件中数据的质量。其次,利用拉格朗日插值法进行采样频率转换,解决保护装置与故障录波器采样频率不一致的问题。然后,利用欧氏距离对同源录波文件数据进行波形一致性对齐,以实现时钟同步。最后,使用FDTW算法对无通道标识信息的故障录波数据进行智能比对。算例分析表明,该方法能够对故障录波数据进行一致性处理,可以快速准确地计算待匹配录波波形的相似度,实现同源通道的录波数据匹配,具备较强的稳定性和实时性。
基金supported fi nancially by the China State Forestry Administration“948”projects(2015-4-52),and Hei-longjiang Natural Science Foundation(C2017005).
文摘The comprehensive utilization of wood is the main goal of log cutting,but knot defects increase the diffi-culty of rationally optimizing cutting.Due to the lack of real shape data of knot defects in logs,it is diffi cult for detection methods to establish a correlation between signal and defect morphology.An image-processing method is proposed for knot inversion based on distance regularized level set segmentation(DRLSE)and spatial vertex clustering,and with the inversion of the defects existing relative board position in the log,an inversion model of the knot defect is established.First,the defect edges of the top and bottom images of the boards are extracted by DRLSE and ellipse fi tting,and the major axes of the ellipses made coplanar by angle correction;second,the coordinate points of the top and bottom ellipse edges are extracted to form a spatial straight line;third,to solve the intersection dispersion of spatial straight lines and the major axis plane,K-medoids clustering is used to locate the vertex.Finally,with the vertex and the large ellipse,a 3D cone model is constructed which can be used to invert the shape of knots in the board.The experiment was conducted on ten defective larch boards,and the experimental results showed that this method can accurately invert the shapes of defects in solid wood boards with the advantages of low cost and easy operation.
