Accuracy Characterization of a MEMS Accelerometer for Vibration Monitoring in a Rotating Framework
Source abstract
Abstract
Active and passive vibration control systems are of paramount importance in many engineering applications. If an external load excites a structure’s resonance and the damping is too low, detrimental events, such as crack initiation, growth and, in the worst case, fatigue failure, can be entailed. Damping systems can be commonly found in applications such as industrial machines, vehicles, buildings, turbomachinery blades, and so forth. Active control systems usually achieve higher damping effectiveness than passive ones, but they need a sensor to detect the working conditions that require damping system activation. Recently, the development of such systems in rotating structures has received considerable interest among designers. As a result, the development of vibration monitoring equipment in rotating structures is also a topic of particular interest. In this respect, a reliable, inexpensive and wireless monitoring system is of utmost importance. Typically, optical systems are used to measure vibrations, but they are expensive and require rather complex processing algorithms. In this paper, a wireless system based on a commercial MEMS accelerometer is developed for rotating blade vibration monitoring. The proposed system measurement accuracy was assessed by means of comparison with a reference wired measurement setup based on a mini integrated circuit piezoelectric (ICP) accelerometer adapted for data acquisition in a rotating frame. Both the accelerometers were mounted on the tip of the blade and, in order to test the structure under different conditions, the first four blade resonances were excited by means of piezoelectric actuators, embedded in a novel experimental setup. The frequency and amplitude of acceleration, simultaneously measured by the reference and MEMS sensors, were compared with each other in order to investigate the viability and accuracy of the proposed wireless monitoring system. The rotor angular speed was varied from 0 to 300 rpm, and the data acquisitions were repeated six times for each considered condition. The outcomes reveal that the wireless measurement system may be successfully used for vibration monitoring in rotating blades.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Advanced Fiber Optic Sensors · Bladed Disk Vibration Dynamics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Via della Vasca Navale 79, 00146 Rome, Italy
References (45)
Show source-provided references
1. Fatigue crack growth simulation in a first stage of compressor blade10.1016/j.engfailanal.2014.06.018 ↗
2. A Design Point Correlation for Losses due to Part-Span Dampers on Transonic Rotors10.1115/1.3446594 ↗
3. Wadia, A.R., and Szucs, P.N. (2008). Inner Workings of Shrouded and Un-Shrouded Transonic Fan Blades. J. Turbomach., 130.10.1115/1.2776957 ↗
4. Choi, B., Kauffman, J., Duffy, K., Provenza, A., and Morrison, C. (2010, January 16–18). Active vibration reduction of titanium alloy fan blades (FAN1) using piezoelectric materials. Proceedings of the 2010 Propulsion-Safety and Affordable Readiness (P-SAR) Conference, Jacksonville, FL, USA. NASA/TM-2010-216335.
5. Rossi, A., Botta, F., Giovannelli, A., and Belfiore, N.P. (2021, January 7–11). High efficiency active damping on a fan rotor blade in case of resonant vibrations by means of piezoelectric actuators. Proceedings of the ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition, GT 2021, Virtual.10.1115/GT2021-59999 ↗
6. Botta, F., Rossi, A., Schinaia, L., Scorza, A., Orsini, F., Sciuto, S., and Belfiore, N. (2017, January 4–7). Experimental validation on optimal placement of pzt plates for active beam multimode vibrations reduction. Proceedings of the AIMETA 2017—23rd Conference of the Italian Association of Theoretical and Applied Mechanics, Salerno, Italy.
7. Duffy, K., Provenza, A., Trudell, J., and Min, J. (2009, January 4–7). Passively shunted piezoelectric damping of centrifugally loaded plates. Proceedings of the 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 17th AIAA/ASME/AHS Adaptive Structures Conference 11th AIAA No, Palm Springs, CA, USA.10.2514/6.2009-2524 ↗
8. Rossi, A., Botta, F., Maiozzi, R., Scorza, A., and Sciuto, S.A. (2018, January 10–13). Experimental results for active control of multimodal vibrations by optimally placed piezoelectric actuators. Proceedings of the 14th International Conference on Vibration Engineering and Technology of Machinery, VETOMAC 2018, Lisbon, Portugal.10.1051/matecconf/201821120001 ↗
9. Goltz, I., Böhmer, H., Nollau, R., Belz, J., Grüber, B., and Seume, J. (2009, January 23–27). Piezo-Electric Actuation of Rotor Blades in an Axial Compressor. Proceedings of the ETC 2009—8th European Conference on Turbomachinery, Graz, Austria.
10. Botta, F., Rossi, A., and Belfiore, N.P. (2021). A novel method to fully suppress single and bi-modal excitations due to the support vibration by means of piezoelectric actuators. J. Sound Vib., 510.10.1016/j.jsv.2021.116260 ↗
11. Botta, F., and Toccaceli, F. (2018). Piezoelectric Plates Distribution for Active Control of Torsional Vibrations. Actuators, 7.10.3390/act7020023 ↗
12. Active vibration suppression of wind turbine blades integrated with piezoelectric sensors10.1515/secm-2021-0039 ↗
13. Kashfi, M., Fakhri, P., Amini, B., and Yavari, N. (2019, January 9–11). Vibration Analysis of A Wind Turbine Blade Integrated by A Piezoelectric layer. Proceedings of the The 34th International Power System Conference (PSC2019), Tehran, Iran.10.1109/PSC49016.2019.9081522 ↗
14. Rossi, A., Botta, F., Giovannelli, A., and Belfiore, N.P. (2023). A novel approach to reduce fan rotor blades stress in case of resonance due to inlet flow distortion by means of piezoelectric actuators. J. Sound Vib., 548.10.1016/j.jsv.2023.117552 ↗
15. Lamonaca, F., Sciammarella, P., Scuro, C., Carnì, D., and Olivito, R. (2018, January 16–18). Internet of Things for Structural Health Monitoring. Proceedings of the 2018 Workshop on Metrology for Industry 4.0 and IoT, Brescia, Italy.10.1109/METROI4.2018.8439038 ↗
16. Research on vibration monitoring and fault diagnosis of rotating machinery based on internet of things technology10.1515/nleng-2021-0019 ↗
17. Khademi, A., Raji, F., and Sadeghi, M. (2019, January 17–18). IoT Enabled Vibration Monitoring Toward Smart Maintenance. Proceedings of the 2019 3rd International Conference on Internet of Things and Applications (IoT), Isfahan, Iran.10.1109/IICITA.2019.8808837 ↗
18. Doliński, Ł., Krawczuk, M., and Żak, A. (2018). Detection of Delamination in Laminate Wind Turbine Blades Using One-Dimensional Wavelet Analysis of Modal Responses. Shock Vib., 2018.10.1155/2018/4507879 ↗
19. Wind Turbine vibration based SHM system: Influence of the sensors layout and noise
20. Oliveira, G., Magalhães, F., Cunha, Á., and Caetano, E. (2018). Vibration-based damage detection in a wind turbine using 1 year of data. Struct. Control Health Monit., 25.10.1002/stc.2238 ↗
21. Duan, F., Zhang, J., Jiang, J., Guo, H., and Ye, D. (2016). Method to improve the blade tip-timing accuracy of fiber bundle sensor under varying tip clearance. Opt. Eng., 55.10.1117/1.OE.55.1.014106 ↗
22. Bornassi, S., Berruti, T.M., Firrone, C.M., and Battiato, G. (2021). Vibration parameters identification of turbomachinery rotor blades under transient condition using Blade Tip-Timing measurements. Measurement, 183.10.1016/j.measurement.2021.109861 ↗
23. Zhang, J.W., Zhang, L.B., and Duan, L.X. (2018). A Blade Defect Diagnosis Method by Fusing Blade Tip Timing and Tip Clearance Information. Sensors, 18.10.3390/s18072166 ↗
24. Sun, S., Wang, T., and Chu, F. (2022). In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures. Renew. Sustain. Energy Rev., 160.10.1016/j.rser.2022.112326 ↗
25. Loss, T., and Bergmann, A. (2019). Vibration-Based Fingerprint Algorithm for Structural Health Monitoring of Wind Turbine Blades. Appl. Sci., 11.10.3390/app11094294 ↗
26. Wireless Inertial Measurements on Wind Turbine Rotor Blades10.1109/JSEN.2021.3122952 ↗
27. A stochastic hybrid blade tip timing approach for the identification and classification of turbomachine blade damage10.1016/j.ymssp.2018.11.032 ↗
28. Improved Blade Tip Timing measurements during transient conditions using a State Space Model10.1016/j.ymssp.2018.12.033 ↗
29. Blade vibration study by spectral analysis of tip-timing signals with OMP algorithm10.1016/j.ymssp.2019.04.063 ↗
30. Li, H., Tian, S., and Yang, Z. (2022). A Novel Blade Vibration Monitoring Experimental System Based on Blade Tip Sensing. Materials, 15.10.3390/ma15196987 ↗
31. Condition monitoring of wind turbine blades and tower via an automated laser scanning system10.1016/j.engstruct.2019.03.065 ↗
32. Chiang, C.H., Hsu, K.T., Yu, C.P., Cheng, C.C., and Pan, J.Z. (2019). Remote Measurements and Vibration Analysis of Existing Wind Turbines. J. Test. Eval., 47.10.1520/JTE20180025 ↗
33. A review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades10.1002/we.2252 ↗
34. Rossi, A., Orsini, F., Scorza, A., Botta, F., Leccese, F., Silva, E., Torokhtii, K., Bernabucci, I., and Sciuto, S.A. (2017, January 14–15). A preliminary performance validation of a MEMS accelerometer for blade vibration monitoring. Proceedings of the 22nd IMEKO TC4 International Symposium and 20th International Workshop on ADC Modelling and Testing 2017: Supporting World Development through Electrical and Electronic Measurements, Iasi, Romania.
35. Arebi, L., Gu, F., Hu, N., and Ball, A.D. (June, January 30). Misalignment Detection using a Wireless Sensor Mounted on a Rotating Shaft. Proceedings of the 24th International Congresson Condition Monitoring and Diagnostics Engineering Management COMADEM, Stavanger, Norway.
36. Elnady, M.E., Sinha, J.K., and Oyadiji, S.O. (2012, January 18–20). Identification of Critical Speeds of Rotating Machines Using On-Shaft Wireless Vibration Measurement. Proceedings of the 25th International Congress on Condition Monitoring and Diagnostic Engineering (COMADEM 2012), Huddersfield, UK.
37. Baghli, L., Pautex, J.F., and Mezani, S. (2010, January 6–8). Wireless instantaneous torque measurement, application to induction motors. Proceedings of the 2010 XIX International Conference on Electrical Machines (ICEM), Rome, Italy.10.1109/ICELMACH.2010.5608217 ↗
38. Thompson, H.A. (2009, January 17–20). Wireless sensor research at the Rolls-Royce Control and Systems University Technology Centre. Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, Aalborg, Denmark.10.1109/WIRELESSVITAE.2009.5172509 ↗
39. Iwaniec, M., Holovatyy, A., Teslyuk, V., Lobur, M., Kolesnyk, K., and Mashevska, M. (2017, January 20–23). Development of vibration spectrum analyzer using the Raspberry Pi microcomputer and 3-axis digital MEMS accelerometer ADXL345. Proceedings of the 2017 XIIIth International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH), Lviv, Ukraine.10.1109/MEMSTECH.2017.7937525 ↗
40. Cheung, W.S. (2019, January 7–11). Technical challenges to calibration of digital-output MEMS accelerometers. Proceedings of the 26th International Congress on Sound and Vibration, Montreal, QC, Canada.
41. Cheung, W.S. (2020). Effects of the sample clock of digital-output MEMS accelerometers on vibration amplitude and phase measurements. Metrologia, 57.10.1088/1681-7575/ab5505 ↗
42. Fu, Y., Han, G., Gu, J., Zhao, Y., Ning, J., Wei, Z., Yang, F., and Si, C. (2022). A High-Performance MEMS Accelerometer with an Improved TGV Process of Low Cost. Micromachines, 13.10.3390/mi13071071 ↗
43. Botta, F., and Rossi, A. (2020, January 21–25). Introductory PZT actuators optimal working configuration experimental study in a turbofan engine fan rotor blade. Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, GT 2020, American Society of Mechanical Engineers, Virtual.10.1115/1.0003242V ↗
44. Le, T.C., Luu, T.H.T., Nguyen, H.P., Nguyen, T.H., Ho, D.D., and Huynh, T.C. (2022). Piezoelectric Impedance-Based Structural Health Monitoring of Wind Turbine Structures: Current Status and Future Perspectives. Energies, 15.10.3390/en15155459 ↗
45. Feasibility of extracting operating shapes using phase-based motion magnification technique and stereo-photogrammetry10.1016/j.jsv.2017.06.003 ↗