Extended Calibration of Charge Mode Accelerometers to Improve the Accuracy of Energy Systems
Affiliation:
1. Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24, 31-155 Krakow, Poland
Abstract
This paper presents an extended calibration procedure for mode accelerometers, which makes it possible to compare the accuracy of sensors of this type from different manufacturers. This comparison involves determining the upper bound on dynamic error for a given quality criterion, i.e., the integral square error and absolute error. Therefore, this article extends the standard calibration implemented in engineering practice using tests, providing a value for the upper bound on dynamic error as an additional parameter describing the accelerometer under consideration. This paper presents the theoretical basis for this type of solution, which is partly based on measurement data obtained from a standard calibration process and on the results of parametric identification. The charge mode accelerometer is considered here because this type of sensor is commonly used in the energy industry, as it can operate over a wide range of temperatures. The calculation results presented in this paper were obtained using MathCad 5.0 software, and the tests were carried out using an accelerometer of type 357B21. In the experimental part of this article (Results of Extended Calibration section), values for the upper bound of the dynamic error were determined for two error criteria and constrained simulation signals related to these errors. The impact of interference on the results of accelerometer tests was omitted in this paper.
Funder
Ministry of Science and Higher Education, Republic of Poland
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference32 articles.
1. Wu, T., You, D., Gao, H., Lian, P., Ma, W., Zhou, X., Wang, C., Luo, J., Zhang, H., and Tan, H. (2023). Research Status and Development Trend of Piezoelectric Accelerometer. Crystals, 13. 2. Correa, J.C., and Guzman, A.A. (2020). Mechanical Vibration and Condition Monitoring, Elsevier. 3. A Review on Vibration Monitoring Techniques for Predictive Maintenance of Rotating Machinery;Romanssini;Eng,2023 4. Falekas, G., and Karlis, A. (2021). Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects. Energies, 14. 5. The Influence of Sustainable Energy Demands on Energy Efficiency: Evidence from China;Chiena;J. Innov. Knowl.,2023
|
|