A Novel Engine Vibration Measurement System based on the MEMS Sensor

Abstract

Internal combustion engines cause the engine to vibrate with a certain acceleration due to the oscillation of many components and combustion events during operation. The resulting vibrations can give information about the regular operation of the engine or a possible me-chanical failure. For this reason, it is very important to measure and interpret these vibrations in a healthy way. In this study, a microcontroller-based measurement system was designed and implemented to examine the vibrations of a 4-stroke, 3-cylinder and water-cooled diesel engine at different speeds, under loaded and unloaded conditions. Vibration results for three different measure-ment points at different engine speeds (900,1200,1600,2000,2400,2800 and 3200rpm) were recorded in the data recording system for 60s. The recorded data were filtered by the EMA method and the results were analyzed by the FFT method. According to the results obtained, it has been determined that there is a close linear rela-tionship between engine speed and vibrations. Results of measurement point 1 (Cylinder head) Higher vibration harmonics were measured compared to measurement points 2 (engine block) and 3 (Flywheel housing). The highest vibrations occurred at 3200rpm under loaded and unloaded operating conditions. As a result; It has been seen that the measurement sys-tem developed using MEMs-based accelerometers can be successfully applied to measure engine vibrations.

Keywords

• Engine Speed
• FFT
• MEMs
• Vibration

References

1. Ahirrao NS, Bhosle SP, Nehete DV. Dynamics and vibration measurements in engines. Procedia Manufacturing. 2018;20:434-9.
2. Bonato M, Goge P, editors. Assessing the vibration fatigue life of engine mounted components. 2018 Annual Reliability and Maintainability Symposium (RAMS); 2018 22-25 Jan. 2018.
3. Chen A, Dai X, editors. Internal combustion engine vibration analysis with short-term Fourier-transform2010 2010: IEEE.
4. Gül M, Karaer M, Doğan A. Design of piezoelectric acceleration sensor for automobile applications. International Journal of Automotive Science And Technology. 2021.
5. Bogrek A, Sumbul H. Development of driver analysis system to improve driving comfort and to reduce mechanical abrasion in vehicles. Teknik Bilimler Dergisi. 2019.
6. Santana CM, Mautone J, Gutierrez J, Junior HA. Effect of fuel and lubricant on engine vibration. SAE Technical Paper. 2020;2020-01-1015.
7. Tuma J, editor Phase demodulation of impulse signals in machine shaft angular vibration measurements. Proceedings of the InternationalConference on Noise and Vibration; 2003.
8. Yaşar A, Keskin A, Yıldızhan Ş, Uludamar E. Emission and vibration analysis of diesel engine fuelled diesel fuel containing metallic based nanoparticles. Fuel. 2019;239:1224-30.

9. Yıldırım H, Özsezen A, Çınar A. Vibration and noise depending upon engine speed in a diesel engine fueled with biodiesel. The 6th European Conference On Renewable Energy Systems; 25-27 June 2018; Istanbul/Turkey: ECRES; 2018.
10. Khan AM, Young-Koo L, Lee SY, Tae-Seong K. A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer. IEEE Transactions on Information Technology in Biomedicine. 2010;14(5):1166-72.
11. Sumbul H, Yuzer AH, editors. Development of diagnostic device for COPD: a mems based approach2017.
12. Anonymous. Analog devices digital accelerometer ADXL345 2017 [Available from: http://www.sparkfun.com/datasheets/Sensors/Accelerometer/ADXL345.pdf
13. Akbar MB. Design and prototype development of motion and shock sensing RF tags: Georgia Institute of Technology; 2012.
14. Sumbul H, Yuzer AH, editors. Measuring of diaphragm movements by using iMEMS acceleration sensor. 2015 9th International Conference on Electrical and Electronics Engineering (ELECO); 2015 26-28 Nov. 2015.
15. Sumbul H, Ozyurt O. Effect of high-heeled shoes on gait: a micro-electro-mechanical-systems based approach. World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering. 2017;11:412-7.
16. A.I. M. Python ile hareketli ortalamalar 2020 [Available from: https://towardsdatascience.com/moving-averages-in-python-16170e20f6c.
17. Anitha S, Jayanthi P, Thangarajan R. Detection of replica node attack based on exponential moving average model in wireless sensor networks. Wireless Personal Communications. 2020;115(2):1651-66.
18. Çeven S, Bayir R. Bir asenkron motorun mekanik titreşim sinyallerinin ölçülerek arıza analizinin yapılması. European Journal of Science and Technology. 2020:312-22.
19. Lin HC, Ye YC, Huang BJ, Su JL. Bearing vibration detection and analysis using enhanced fast Fourier transform algorithm. Advances in mechanical engineering. 2016;8(10).