Gross Error Correction Algorithm of Contact Wire Height Detection Data Based on Kalman Filtering
The regularity of contact wire height is an important index to evaluate the dynamic operation quality of OCS equipment.Aiming at the gross error in contact wire height detection data,this paper proposes a corresponding identification and correction algorithm based on Kalman filtering.The contact wire height is regarded as a continuous and stable system,and the system status value is defined by rectangular window function to realize piecewise linearization of detection data.According to the regression prediction method of system status value and the quantification scheme of status difference,the gross error identification and correction algorithm is constructed,and the backtracking mechanism suitable for the acquisition characteristics of double-branch contact wires at overlap is introduced.Based on a large number of measured data,statistical methods such as significance test are used to determine the algorithm parameters,and the effectiveness and feasibility of the algorithm are analyzed and verified from backtracking,correction,application and real-time performance.The results show that this algorithm can complete high-speed real-time identification and correction of various types of gross errors in contact wire height detection.
万方数据
维普
