摘要
Abstract
The current level flowing through the circuit in the opening and closing states is not the same.The traditional methods can not respond to the change of current level in time,resulting in delayed or inaccurate identification results.Therefore,in order to effectively identify the switch status,a HOG based method for identifying the three-phase opening and closing status of the isolation switch at the outlet of hydropower station units is proposed.Normalize the HOG feature vectors,and based on this,combine the sampled edge nodes of the isolation switch image to calculate their gradient size and direction,thus defining the Hough Transform principle to achieve edge transformation of the isolation switch image at the outlet of hydropower station units based on HOG.Using the recognition threshold,determine the opening and closing behavior status of the isolation switch at the outlet of the hydropower station unit,and complete the design of the recognition algorithm.The experimental results show that based on the above method,the closing and opening states of the isolation switch at the outlet of the hydropower station unit can be accurately identified according to the different values of the circulating current.关键词
HOG特征/水电站机组/隔离开关/三相分合闸/霍夫变换/识别阈值Key words
HOG features/hydroelectric power plant units/isolating switch/three phase opening and closing switch/Hough Transform/identification threshold分类
能源与动力
