journal article·2026-03

A novel piezoelectric smart bearing for self-powered crack fault detection in rotating machinery: electromechanical modelling and experiments

Ali Nezhadrezaei, Reza Ebrahimi

Publisher page

Abstract

No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.

Source: Not provided · Quality: missing

Research context

OpenAlex topics: Magnetic Bearings and Levitation Dynamics · Machine Fault Diagnosis Techniques · Tribology and Lubrication Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (30)

Show source-provided references
1. Ahmad, I., Hee, L.M., Abdelrhman, A.M., Imam, S.A., Leong, M.S.: Scopes, challenges and approaches of energy harvesting for wireless sensor nodes in machine condition monitoring systems: a review. Measurement 183, 109856 (2021)10.1016/j.measurement.2021.109856 ↗
2. Al-Shudeifat, M.A., Butcher, E.A.: New breathing functions for the transverse breathing crack of the cracked rotor system: approach for critical and subcritical harmonic analysis. J. Sound Vib. 330, 526–544 (2011)10.1016/j.jsv.2010.08.022 ↗
3. Ambur, R., Rinderknecht, S.: Self-sensing techniques of piezoelectric actuators in detecting unbalance faults in a rotating machine. Procedia Eng. 144, 833–840 (2016)10.1016/j.proeng.2016.05.095 ↗
4. Blodt, M., Granjon, P., Raison, B., Rostaing, G.: Models for bearing damage detection in induction motors using stator current monitoring. IEEE Trans. Ind. Electron. 55(4), 1813–1822 (2008)10.1109/TIE.2008.917108 ↗
5. Ebrahimi, R.: Chaos in coupled lateral-longitudinal vibration of electrostatically actuated microresonators. Chaos Solitons Fractals 156, 111828 (2022)10.1016/j.chaos.2022.111828 ↗
6. Ebrahimi, R.: Potential use of piezoelectric laser-induced vibration energy harvesting in wireless power transmission: theoretical modelling and simulation. Physica B 690, 416249 (2024)10.1016/j.physb.2024.416249 ↗
7. Guo, C., AL-Shudeifat, M.A., Yana, J., Bergman, L.A., McFarland, D.M., Butcher, E.A.: Application of empirical mode decomposition to a Jeffcott rotor with a breathing crack. J. Sound Vib. 332, 3881–3892 (2013)10.1016/j.jsv.2013.02.031 ↗
8. Han, Q., Ding, Z., Qin, Z., Wang, T., Xu, X., Chu, F.: A triboelectric rolling ball bearing with self-powering and self-sensing capabilities. Nano Energy 67, 104277 (2020)10.1016/j.nanoen.2019.104277 ↗
9. Jiang, Z., Gao, S., Kong, Y., Pennacchi, P., Chu, F., Han, Q.: Ultra-compact triboelectric bearing based on a ribbon cage with applications for fault diagnosis of rotating machinery. Nano Energy 99, 107263 (2022)10.1016/j.nanoen.2022.107263 ↗
10. Li, N., Zhang, J., Meng, X., Han, Q., Zhai, J.: Dynamic response and failure analysis of bearing under the impact of vibration excitation. Eng. Fail. Anal. 154, 107640 (2023)10.1016/j.engfailanal.2023.107640 ↗
11. Liang, H., Zhao, C., Liu, Y., Gao, C., Cui, N., Sbarufatti, C., Giglio, M.: Research on a quantitative fault diagnosis method for rotor rub-impact. Struct. Health Monit. 23, 1498–1513 (2024)10.1177/14759217231188141 ↗
12. Miao, Y., Gao, S., Kong, Y., Jiang, Z., Han, Q., Chu, F.: Variable reluctance bearing generators applicable in condition monitoring of bearing cages. Mech. Syst. Signal Process. 194, 110249 (2023)10.1016/j.ymssp.2023.110249 ↗
13. Molavian Jazi, M., Ziaei-Rad, S., Ebrahimi, R.: Chaotic vibration of atomic force microscopes based on the modified couple stress theory. Arch. Appl. Mech. 92, 3683–3694 (2022)10.1007/s00419-022-02256-5 ↗
14. Nasar, R.A., Alzarooni, T., Al-Shudeifat, M.A.: On modeling and damage detection methodologies in rotor systems. Nonlinear Dyn. 112, 16657–16710 (2024)10.1007/s11071-024-09962-5 ↗
15. Philipp, K., Filippatos, A., Kuschmierz, R., Langkamp, A., Gude, M., Fischer, A., Czarske, J.: Multi-sensor system for in situ shape monitoring and damage identification of high-speed composite rotors. Mech. Syst. Signal Process. 76, 187–200 (2016)10.1016/j.ymssp.2016.02.009 ↗
16. Qin, L., Zhang, L., Feng, J., Zhang, F., Han, Q., Qin, Z., Chu, F.: A hybrid triboelectric-piezoelectric smart squirrel cage with self-sensing and self-powering capabilities. Nano Energy 124, 109506 (2024)10.1016/j.nanoen.2024.109506 ↗
17. Roy, D.K., Tiwari, R.: Experimental identification of internal and external damping in a rotor system with a fatigue-crack using full spectrum. Exp. Tech. 44, 509–528 (2020)10.1007/s40799-020-00368-7 ↗
18. Saeed, N.A., Mohamed, M.S., Elagan, S.K.: Periodic, quasi-periodic, and chaotic motions to diagnose a crack on a horizontally supported nonlinear rotor system. Symmetry 12, 2059 (2020)10.3390/sym12122059 ↗
19. Safian, A., Wu, N., Liang, X.: A multi-function integrated PVDF transducer for fault detection and speed measurement of cylindrical roller bearings. Mech. Syst. Signal Process. 212, 111313 (2024)10.1016/j.ymssp.2024.111313 ↗
20. Safian, A., Wu, N., Liang, X.: Development of an embedded piezoelectric transducer for bearing fault detection. Mech. Syst. Signal Process. 188, 109987 (2023)10.1016/j.ymssp.2022.109987 ↗
21. Sarmah, N., Tiwari, R.: Analysis and identification of the additive and multiplicative fault parameters in a cracked-bowed-unbalanced rotor system integrated with an auxiliary active magnetic bearing. Mech. Mach. Theory 146, 103744 (2020)10.1016/j.mechmachtheory.2019.103744 ↗
22. Sekhar, A.S.: Crack identification in a rotor system: a model-based approach. J. Sound Vib. 270, 887–902 (2004)10.1016/S0022-460X(03)00637-0 ↗
23. Shi, R., Yan, Z., Fang, S., Qiao, Z., Xiao, S., Lei, J., Wang, Z., Xu, B., Lai, Z.: Research on a self-powered rolling bearing fault diagnosis method with a piezoelectric generator for self-sensing. Appl. Energy 376, 124206 (2024)10.1016/j.apenergy.2024.124206 ↗
24. Sinou, J.J.: Damage detection in a rotor dynamic system by monitoring nonlinear vibrations and antiresonances of higher orders. Appl. Sci. 12, 11904 (2022)10.3390/app122311904 ↗
25. Stanton, S.G., McGehee, C.C., Mann, B.P.: Nonlinear dynamics for broadband energy harvesting: investigation of a bistable piezoelectric inertial generator. Physica D 239, 640–653 (2010)10.1016/j.physd.2010.01.019 ↗
26. Teyi, N., Singh, S., Prakash, C., Gupta, L.R.: Finite element modeling and analysis of signal-based localization of fatigue crack in active magnetic bearing supported shafts. Int. J. Interact. des. Manuf. 18(8), 6195–6204 (2024)10.1007/s12008-023-01542-y ↗
27. Wang, J., Li, W., Lan, C., Wei, P., Luo, W.: Electromechanical impedance instrumented piezoelectric ring for pipe corrosion and bearing wear monitoring: a proof-of-concept study. Sens. Actuators A Phys. 315, 112276 (2020)10.1016/j.sna.2020.112276 ↗
28. Zhang, L., Zhang, F., Qin, Z., Han, Q., Wang, T., Chu, F.: Piezoelectric energy harvester for rolling bearings with capability of self-powered condition monitoring. Energy 238, 121770 (2022)10.1016/j.energy.2021.121770 ↗
29. Zhang, Y., Cao, J., Zhu, H., Lei, Y.: Design, modeling and experimental verification of circular Halbach electromagnetic energy harvesting from bearing motion. Energy Convers. Manag. 180, 811–821 (2019)10.1016/j.enconman.2018.11.037 ↗
30. Zhang, Y., Wang, W., Wu, X., Lei, Y., Cao, J., Bowen, C., Bader, S., Yang, B.: A comprehensive review on self-powered smart bearings. Renew. Sustain. Energy Rev. 183, 113446 (2023)10.1016/j.rser.2023.113446 ↗