Abstract
This paper presents an analysis of the accelerometer input–output energy distribution based on the upper bound of the absolute dynamic error (UBADE). This analysis corresponds to the input and output accelerometer signals, determined previously by mathematical modeling. Obtained results may provide the basis for verifying the correctness of the algorithms intended for the determination of the UBADE.
Highlights
In the field of theory and practice related to accelerometers, as for the other types of measurement sensors, there are known test procedures used for calibration [1,2,3,4,5]
The procedure presented in this paper, which is intended for analyzing the input–output energy distribution of accelerometers, can verify the correctness of the algorithm for determining the upper bounds of the absolute dynamic error (UBADE) in any mathematical or computational program (e.g., MATLAB and MathCad)
This verification consists of determining the dominant frequencies in the accelerometer input and output signals obtained by modeling, as well as an analysis of the energy distribution of these signals
Summary
In the field of theory and practice related to accelerometers, as for the other types of measurement sensors, there are known test procedures used for calibration [1,2,3,4,5]. Considering the above, this paper proposes a procedure based on an analysis of the energy [29,30,31,32,33,34,35,36] of the accelerometer’s input and output signals, obtained by mathematical modeling [37,38], for which the UBADE is determined. The examples of research are presented in the paper [30] and they relate to the energy distribution determination, but in the case of the analysis of signals maximizing the integral square error. The final section entitled “Conclusions” summarizes the results obtained in this paper
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