Open AccessDynamic data processing method based on generalized least square method
Author(s) -
Zhaoxin Yang,
Zhaoquan Gu,
Wenqing Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2108/1/012057
Subject(s) - calibration , computer science , accelerometer , bar (unit) , filter (signal processing) , algorithm , data processing , shock (circulatory) , square (algebra) , dynamic equation , split hopkinson pressure bar , mathematics , statistics , nonlinear system , computer vision , materials science , medicine , physics , geometry , quantum mechanics , strain rate , meteorology , metallurgy , operating system
In this paper, a time domain-processing method is introduced for the dynamic calibration based on Hopkinson bar and shock tube. With a group of accelerometer and pressure sensor data processed in our work, the algorithm for establishing dynamic mathematical model is described in detail. “Generalized least square method for special whitening filter” and the simulation results are given. It shows that this method has the characteristics of simplicity and accuracy, and is especially suitable for the establishment of difference equation model in the data processing of dynamic calibration experiment.