Dynamic load identification based on piecewise fitting trend term and smooth curve

作者：Wei Gao, Zhuoyu Ren · 发表于：Journal of Physics Conference Series · 年份：2022 · DOI：10.1088/1742-6596/2364/1/012049 · 被引用次数：5 · 研究领域：Image and Signal Denoising Methods、Image and Object Detection Techniques、Industrial Vision Systems and Defect Detection

Abstract wilson – θ back analysis method is a good load identification method. However, there are some problems, such as unsatisfactory load identification results caused by acceleration measurement errors. By deriving the recurrence formula of cumulative acceleration error of velocity and displacement, the different situations of displacement and velocity error are summarized. This paper introduces an algorithm for identifying the extreme points of trend items. The correction speed and displacement are modified by subsection fitting. The midpoint smoothing fitting of the load data after the initial identification is proposed which can better improve the accuracy of the load identification wilson – θ back analysis method. Finally, a simulation example shows that the displacement, velocity and the identified load error level are well controlled.