Performance evaluation of accelerometers ADXL345 and MPU6050 exposed to random vibrational input

Authors

DOI:

https://doi.org/10.33448/rsd-v10i15.23082

Keywords:

MEMS; Accelerometers; Mechanical vibrations; Offset shifts; Rectification errors.

Abstract

The use of vibration monitors is a well-established practice in industrial maintenance, usually vibration sensors are positioned at specific points on the monitored machinery and data are continuously collected to feed a machine operating health control system. Nevertheless, the technology for obtaining the signal, its treatment and analysis is generally expensive, and the financial return is not evident, which justifies the development of low-cost alternatives technologies. In this work was performed an analysis of the responses of two Micro-Electro-Mechanical accelerometers, models ADXL345 and MPU6050, exposed to a low intensity random signal and standard operating frequency. The objective of the analysis was to verify the capacity of these devices to be used as mechanical vibration sensors for rotating machines. For this purpose, offset shift analyzes of the sensors due to the Earth's gravitational field were performed, as well as vibrational spectrum and rectification errors analysis under multiple conditions. The data pointed to a greater uniformity of the MPU6050 response, while several behavioral anomalies were seen in the ADXL345, when these sensors are exposed to the same mechanical signal. The qualitative and quantitative behavior of MPU6050 rectification error was consistent with reported in the literature. It was noted that the methodology used can profile the behavior of sensors, however, it is not sufficient to safely justify the inaccuracies, requiring that the tests be performed on a statistically representative number of sensors from different manufacturers and batches.

References

Albarbar, A., & Teay, S. H. (2017). MEMS accelerometers: testing and practical approach for smart sensing and machinery diagnostics. In D. Zhang & B. Wei (Eds.), Advanced Mechatronics and MEMS Devices II (1st ed., pp. 19-40). Springer.

Bao, M. (2005). Analysis and design principles of MEMS devices (1st ed.). Elsevier Science.

Bao, M. H. (2000). Micro mechanical transducers: pressure sensors, accelerometers and gyroscopes (1st ed.). Elsevier Science.

Blodt, M., Chabert, M., Regnier, J., & Faucher, J. (2006). Mechanical load fault detection in induction motors by stator current time-frequency analysis. IEEE Transactions on Industry Applications, 42(6), 1454-1463.

Combescure, D., & Lazarus, A. (2008). Refined finite element modelling for the vibration analysis of large rotating machines: Application to the gas turbine modular helium reactor power conversion unit. Journal of Sound and Vibration, 318(4-5), 1262-1280.

Correa, J. C. A. J., & Guzman, A. A. L. (2020). Mechanical Vibrations and Condition Monitoring (1st ed.). Academic Press.

Dukkipati, R. V. (2010). Mechanical vibrations. Alpha Science International.

Farrar, C. R., Doebling, S. W., & Nix, D. A. (2001). Vibration–based structural damage identification. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 359(1778), 131-149.

Fisher, C. J. (2010). Using an accelerometer for inclination sensing. Analog Devices. https://www.analog.com/en/app-notes/an-1057.html

Friswell, M., Penny, J., Garvey, S., & Lees, A. (2010). Dynamics of Rotating Machines (Cambridge Aerospace Series). Cambridge: Cambridge University Press. doi:10.1017/CBO9780511780509

Hunter, J. D. (2007). Matplotlib: A 2D graphics environment. Computing in science & engineering, 9(03), 90-95.

Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., … Oliphant, T. E. (2020). Array programming with NumPy. Nature, 585, 357–362. https://doi.org/10.1038/s41586-020-2649-2

He, J., Zhou, W., Yu, H., He, X., & Peng, P. (2018). Structural Designing of a MEMS Capacitive Accelerometer for Low Temperature Coefficient and High Linearity. Sensors, 18(2), 643. doi:10.3390/s18020643

Holanda, S.A., Silva, A.A., Araujo, C.J., & Aquino, A.S. (2014). Study of the Complex Stiffness of a Vibratory Mechanical System with Shape Memory Alloy Coil Spring Actuator. Shock and Vibration, 162781. https://doi.org/10.1177/1045389X20924829

International Organization for Standardization. (2010). Mechanical vibration and shock — Vibration of fixed structures — Guidelines for the measurement of vibrations and evaluation of their effects on structures (ISO Standard No. 4866). Retrieved from https://www.iso.org/standard/38967.html

International Organization for Standardization. (2016). Mechanical vibration — Measurement and evaluation of machine vibration — Part 1: General guidelines (ISO Standard No. 20816–1). Retrieved from https://www.iso.org/standard/63180.html

Kelly, S. G. (2012). Mechanical vibrations: theory and applications (1st ed.). Cengage learning.

Lawes, R. (Ed.). (2014). MEMS Cost Analysis: From Laboratory to Industry. CRC Press.

Lees, A. W., Sinha, J. K., & Friswell, M. I. (2009). Model-based identification of rotating machines. Mechanical Systems and Signal Processing, 23(6), 1884-1893. https://doi.org/10.1016/j.ymssp.2008.08.008

Levinzon, F. (2015). Piezoelectric accelerometers with integral electronics. Springer.

Nayfeh, A. H., & Younis, M. (2005). Dynamics of MEMS resonators under superharmonic and subharmonic excitations. Journal of Micromechanics and Microengineering, 15(10), 1840-1847. https://doi.org/10.1088/0960-1317/15/10/008

Pham, L., & DeSimone, A. (2017). Vibration Rectification in MEMS Accelerometers. Analog Devices. https://www.analog.com/ru/technical-articles/vibration-rectification-in-mems-accelerometers.html

Prawin, J., & Anbarasan, R. (2021). A novel Mel-frequency cepstral analysis based damage diagnostic technique using ambient vibration data. Engineering Structures, 228, 111552. https://doi.org/10.1016/j.engstruct.2020.111552

Silva, F. A. (2014). Smart Sensors and MEMS: Intelligent Devices and Microsystems for Industrial Applications [Book News]. IEEE Industrial Electronics Magazine, 8(3), 74-74. 10.1109/MIE.2014.2335418

Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., Van Der Walt, S. J., Brett, M., Wilson, J., Millman, K. J., Mayorov, N., Nelson, A. R. J., Jones, E., Kern, R., Larson, E., ... Tygier, S. (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods. https://doi.org/10.1038/s41592-019-0686-2

Tanaka, M. (2007). An industrial and applied review of new MEMS devices features. Microelectronic engineering, 84(5-8), 1341-1344.

Walter, P. L. (1997). The history of the accelerometer. Sound and vibration, 31(3), 16-23.

Wang, Y., He, Z., & Zi, Y. (2010). Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform. Mechanical Systems and Signal Processing, 24(1), 119-137. 10.1016/j.ymssp.2009.06.015.

Yan, Y.J., Cheng, L., Wu, Z. & Yam, L.H. (2007). Development in Vibration-Based Structural Damage Detection Technique. Mechanical Systems and Signal Processing, 21(5), 2198-2211. 10.1016/j.ymssp.2006.10.002.

Downloads

Published

27/11/2021

How to Cite

RODRIGUES, J. V. O. .; PEDROSO, M. P. G.; BARBOSA SILVA, F. F. .; LEÃO JUNIOR, R. G. Performance evaluation of accelerometers ADXL345 and MPU6050 exposed to random vibrational input . Research, Society and Development, [S. l.], v. 10, n. 15, p. e286101523082, 2021. DOI: 10.33448/rsd-v10i15.23082. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/23082. Acesso em: 5 nov. 2024.

Issue

Section

Engineerings