Manufacturing Technology 2025, 25(4):469-481 | DOI: 10.21062/mft.2025.056
Experimental Evaluation of Vibration Responses to Progressive Gear Damage in Planetary Gear
- Faculty of Mechanical Engineering, University of Žilina in Žilina. Univerzitná 8215/1, 010 26 Žilina. Slovak Republic
This study presents a systematic experimental analysis of vibration responses in a planetary gearbox (type A2000) under both undamaged and artificially induced fault conditions. The primary aim was to identify specific frequency-domain signatures of various types and severities of gear defects—such as pitting on the flanks of gear teeth, missing teeth, unbalance of the carrier, and damage to the ring gear—through spectral analysis of vibration signals. Measurements were conducted in both loaded and unloaded states using non-contact torque sensors and a multi-channel diagnostic system (SKF IMx-S) with tri-axial accelerometers. The results demonstrate a strong correlation between the severity of gear damage and the amplitude and structure of sidebands around the gear mesh frequencies. Notably, the presence of pitting consistently increased the sideband amplitudes, while unbalance induced distinct harmonics in the frequency spectrum. Damage to the ring gear and central gear exhibited overlapping features but were distinguishable in the acceleration envelope spectrum. The findings provide a foundation for the early-stage identification of gearbox faults and highlight the potential for deploying automated diagnostic systems in industrial applications. Future work will focus on real-time AI-based detection methods and application of the results in industrial environments such as Continental and U.S. Steel.
Keywords: Gearbox diagnostics, Planetary gearbox, Vibration analysis, Gear damage detection, Artificial damage on gears
Grants and funding:
This work was supported by the Scientific Grant Agency of the Ministry of Education, Science, Research and Sport of the Slovak Republic (VEGA), project no. 1/0568/24, Research in the field of loading and stress deformation states of rolling bearing cages. The authors gratefully acknowledge this support
Received: June 8, 2025; Revised: October 10, 2025; Accepted: October 13, 2025; Prepublished online: November 10, 2025; Published: November 11, 2025 Show citation
References
- ROMANSSINI, M., DE AGUIRRE, P. C. C., COMPASSI-SEVERO, L., GIRARDI, A. G. (2023). A review on vibration monitoring techniques for predictive maintenance of rotating machinery. In: Eng, Vol. 4, No. 3, pp. 1797-1817.
Go to original source... - KESHTA, I., MAJEED, M. E., AL-SHAIKHLI, T. R., ADEL, A. H., JABBAR, K. A., SONI, M. (2025). AI-Based Predictive Maintenance for Machine Vibration and Condition Monitoring in Industrial Applications. In: 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0, pp. 1-7. IEEE.
Go to original source... - CÉZOVÁ, E. (2025). Demonstration of Neural Network in Prediction of Bearing Lifetime. In: Manufacturing Technology Journal, Vol. 25, No. 2, pp. 170-173. Elsevier.
Go to original source... - BOUZOUIDJA, M., SOUALHI, M., SOUALHI, A., RAZIK, H. (2024). Detection and diagnostics of bearing and gear fault under variable speed and load conditions using heterogeneous signals. In: Energies, Vol. 17, No. 3, p. 643. MDPI.
Go to original source... - SAIED, R. O., MOSTAFA, M. S., HUSSEIN, H. A. (2015). Predictive maintenance program based on vibration monitoring. In: Design and Modeling of Mechanical Systems-II: Proceedings of the Sixth Conference on Design and Modeling of Mechanical Systems, CMSM'2015, March 23-25, Hammamet, Tunisia, pp. 651-660. Cham: Springer International Publishing.
Go to original source... - DU, Y., LU, Z., CHANG, E., LI, Q., SHI, Y. (2023). Identification Method of Vibration Drilling Bit Wear State Based on Signal Imaging and Deep Learning. In: Manufacturing Technology Journal, Vol. 23, No. 4, pp. 392-398. Elsevier.
Go to original source... - DUBAISH, A. A., JABER, A. A. (2023). Fabrication of a test rig for gearbox fault simulation and diagnosis. In: Diagnostyka, Vol. 24
Go to original source... - AHERWAR, A. (2012). An investigation on gearbox fault detection using vibration analysis techniques: A review. In: Australian Journal of Mechanical Engineering, Vol. 10, No. 2, pp. 169-183. Taylor & Francis.
Go to original source... - PECHO, P., HRÚZ, M., NOVÁK, A., TRŠKO, L. (2021). Internal damage detection of composite structures using passive RFID tag antenna deformation method: Basic research. In: Sensors, Vol. 21, No. 24, p. 8236. MDPI.
Go to original source... - ZUBER, N., BAJRIĆ, R., ŠOSTAKOV, R. (2014). Gearbox faults identification using vibration signal analysis and artificial intelligence methods. In: Eksploatacja i Niezawodność, Vol. 16, No. 1, pp. 61-65.
- LI, Q., CAI, X., LI, W., TAN, Z., YANG, C. (2023). Progress and Prospect of Ultrasonic Vibratory Cutting Research. In: Manufacturing Technology Journal, Vol. 23, No. 5, pp. 638-648. Elsevier.
Go to original source... - QU, Y., HE, D., YOON, J., VAN HECKE, B., BECHHOEFER, E., ZHU, J. (2014). Gearbox tooth cut fault diagnostics using acoustic emission and vibration sensors A comparative study. In: Sensors, Vol. 14, No. 1, pp. 1372-1393. MDPI.
Go to original source... - GOSWAMI, P., RAI, R. N. (2024). Principal component analysis based vibration sensor selection for fault diagnosis of an industrial gearbox. In: 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1-6. IEEE.
Go to original source... - SEO, M. K., YUN, W. Y. (2024). Gearbox Condition Monitoring and Diagnosis of Unlabeled Vibration Signals Using a Supervised Learning Classifier. In: Machines, Vol. 12, No. 2, p. 127. MDPI.
Go to original source... - HILBERT, M., SMITH, W. A., RANDALL, R. B. (2022). The effect of signal propagation delay on the measured vibration in planetary gearboxes. In: Journal of Dynamics, Monitoring and Diagnostics, Vol. 1, No. 1, pp. 9-18.
Go to original source... - JIN, X., CHENG, F., PENG, Y., QIAO, W., QU, L. (2018). Drivetrain gearbox fault diagnosis: Vibrational current-based approaches. In: IEEE Industry Applications Magazine, Vol. 24, No. 6, pp. 56-66. IEEE.
Go to original source... - CHOY, F. K., HUANG, S., ZAKRAJSEK, J. J., HANDSCHUH, R. F., TOWNSEND, D. P. (1996). Vibration signature analysis of a faulted gear transmission system. In: Journal of Propulsion and Power, Vol. 12, No. 2, pp. 289-295.
Go to original source... - ZOU, M., MA, J., XIONG, X., LI, R. (2023). Analysis of vibration characteristics of planetary gearbox with broken sun gear based on phenomenological model. In: Applied Sciences, Vol. 13, No. 16, p. 9413. MDPI.
Go to original source... - KOHÁR, R., HRČEK, S., BRUMERČÍK, F. (2021). The comparison of the amount of backlash of a harmonic gear system. In: Tehnički vjesnik, Vol. 28, No. 3, pp. 771-778.
Go to original source... - LIU, L., ZUO, M. J., LIANG, X. (2016). Dependence analysis of planetary gearbox vibration marginals. In: 2016 Prognostics and System Health Management Conference (PHM-Chengdu), pp. 1-6. IEEE.
Go to original source... - MIAO, Q., ZHOU, Q. (2015). Planetary gearbox vibration signal characteristics analysis and fault diagnosis. In: Shock and Vibration, Vol. 2015, p. 126489. Wiley.
Go to original source... - HEMATI, A., SHOOSHTARI, A. (2025). Planetary Gearbox Vibration Analysis Using Experimental Validation and Dynamic Simulation. In: Journal of Vibration Engineering & Technologies, Vol. 13, No. 4, p. 232. Springer Nature.
Go to original source... - YU, X., FENG, Z., LIANG, M. (2021). Analytical vibration signal model and signature analysis in the resonance region for planetary gearbox fault diagnosis. In: Journal of Sound and Vibration, Vol. 498, p. 115962. Elsevier.
Go to original source... - MIRONOV, A., MIRONOVS, D. (2018). Vibration diagnostics of planetary gearbox of engineering and transport machines based on spatial model application. In: 17th International Scientific Conference Engineering for Rural Development, pp. 23-25.
Go to original source... - SÁSIK, R., BAŠŤOVANSKÝ, R., HOČ, M., MADAJ, R., SPIŠÁK, P. (2019). The comparison of selected strength indicators of manufactured prototypes produced by metal additive manufacturing (3D printing) system. In: Current Methods of Construction Design: Proceedings of the ICMD 2018, pp. 501-508. Cham: Springer International Publishing.
Go to original source... - OSMAN, A., GOBRAN, M. H., MAHMOUD, F. F. (2020). Vibration Signature of Gear Pump of Missing One and Two Teeth. In: The Egyptian International Journal of Engineering Sciences and Technology, Vol. 30, pp. 39-50.
Go to original source... - CHARDE, M.M., NAJAN, T.P., CEPOVA, L., JADHAV, A.D., RASH-INKARD, N.S., SAMAL, S.P. (2025). Predictive Modelling of Surface Roughness in Grinding Operations Using Machine Learning Techniques. In: Manufacturing Technology Journal, Vol. 25, No. 1, pp. 14-23. Elsevier.
Go to original source... - KARABACAK, Y. E., ÖZMEN, N. G., GÜMÜŞEL, L. (2022). Intelligent worm gearbox fault diagnosis under various working conditions using vibration, sound and thermal features. In: Applied Acoustics, Vol. 186, p. 108463. Elsevier.
Go to original source... - ZHOU, W., ZHOU, Q., ZHANG, J. (2025). Speed-Load Insensitive Fault Diagnosis Method of Wind Turbine Gearbox Based on Adversarial Training. In: Electronics, Vol. 14, No. 4, p. 732. MDPI.
Go to original source... - ERITENEL, T., PARKER, R. G. (2012). Three-dimensional nonlinear vibration of gear pairs. In: Journal of sound and vibration, Vol. 331, No. 15, pp. 3628-3648. Elsevier.
Go to original source... - EL AMLI, A., EL YOUSFI, B., SOUALHI, A., GUILLET, F. (2025). A Novel Hybrid FEM-Dynamic Modeling Approach for Enhanced Vibration Diagnostics in a Two-Stage Spur Gearbox. In: Energies, Vol. 18, No. 9, p. 2176. MDPI.
Go to original source... - FENG, Z., ZUO, M. J., HAO, R., CHU, F., EL BADAOUI, M. (2011). Gear damage assessment based on cyclic spectral analysis. In: IEEE Transactions on Reliability, Vol. 60, No. 1, pp. 21-32. IEEE.
Go to original source... - FAN, Q., ZHOU, Q., WU, C., GUO, M. (2017). Gear tooth surface damage diagnosis based on analysing the vibration signal of an individual gear tooth. In: Advances in Mechanical Engineering, Vol. 9, No. 6, p. 1687814017704356. Sage Publications.
Go to original source... - GERÖCS, A., KORKA, Z. I., BLOJU, A. V., SFETCU, C. R. (2020). Appraisal of gear pitting severity by vibration signal analysis. In: IOP Conference Series: Materials Science and Engineering, Vol. 997, No. 1, p. 012042. IOP Publishing.
Go to original source... - CHAARI, F., BACCAR, W., ABBES, M. S., HADDAR, M. (2008). Effect of spalling or tooth breakage on gearmesh stiffness and dynamic response of a one-stage spur gear transmission. In: European Journal of Mechanics-A/Solids, Vol. 27, No. 4, pp. 691-705.
Go to original source... - HOU, J., YANG, S., LI, Q., LIU, Y. (2022). Effect of a novel tooth pitting model on mesh stiffness and vibration response of spur gears. In: Mathematics, Vol. 10, No. 3, p. 471. MDPI.
Go to original source... - HAPPI, K. H. Y., KOUEJOU, B. X. T., ALUGONGO, A. A. (2023). Influence of Coexistence of Pitting and Cracking Faults on a Two-Stage Spur Gear System. In: Vibration, Vol. 6, No. 1, pp. 195-217. MDPI.
Go to original source... - KIA, S. H., HENAO, H., CAPOLINO, G. A. (2014). Gear tooth surface damage fault detection using induction machine stator current space vector analysis. In: IEEE Transactions on Industrial Electronics, Vol. 62, No. 3, pp. 1866-1878. IEEE.
Go to original source... - BARSHIKAR, R. R., BAVISKAR, P. R. (2023). Experimental investigation for fault diagnosis of a single stage worm gearbox using response surface methodology. In: Nigerian Journal of Technological Development, Vol. 20, No. 2, pp. 11-22.
Go to original source... - AHERWAR, A. (2012). An investigation on gearbox fault detection using vibration analysis techniques: A review. In: Australian Journal of Mechanical Engineering, Vol. 10, No. 2, pp. 169-183. Taylor & Francis.
Go to original source... - QIU, Y., SUN, B., TAI, L. (2025). Research of Gearbox Fault Monitoring System Based on Digital Twin. In: 2025 5th International Conference on Computer, Control and Robotics (ICCCR), pp. 236-240. IEEE.
Go to original source... - GRZESZKOWSKI, M., GÜHMANN, C., SCHOLZEN, P., LÖPENHAUS, C., NOWOISKY, S., KAPPMEYER, G. (2018). Experimental study on the pitting detection capabilities for spur gears using acoustic emission and vibration analysis methods. In: Gear Technology, Vol. 36, No. 2, pp. 48-57.
- ZAKRAJSEK, J. J., TOWNSEND, D. P., DECKER, H. J. (1993). An analysis of gear fault detection methods as applied to pitting fatigue failure data (No. NASAE7470).
- JIMÉNEZ-SANTÍN, D., CERRADA, M., SÁNCHEZ, R. V., CASSANDRO, R. (2025). Industry 4.0 Technologies for an Observer-Based Gearbox Fault Detection Architecture. In: 2025 IEEE International Conference on Prognostics and Health Management (ICPHM), pp. 1-7. IEEE.
Go to original source... - ČAČO, M., KOHÁR, R., HRČEK, S., TRIBULA, R., ŠČERBA, P. (2017). Use the method of TRIZ in optimizing automated machine for ultrasonic welding. In: Procedia engineering, Vol. 192, pp. 80-85.
Go to original source... - DENG, C., SHAO, Y., ZHENG, H., DU, M., YANG, Y. (2018). Research on Vibration Characteristics of Spur Gear System with Pitting Fault Considering the Elastohydrodynamic Lubrication Condition. In: 2018 18th International Conference on Control, Automation and Systems (ICCAS), pp. 1295-1299. IEEE.
- ZHA, C., ZHA, S. (2022). Theoretical and Experimental Study on the Influence of Ultrasonic Vibration on Contact Friction. In: Manufacturing Technology Journal, Vol. 22, No. 3, pp. 367-376. Elsevier.
Go to original source... - OSMAN, A. H., GOBRAN, M. H., MAHMOUD, F. F. (2019). Vibration signature of normal and notched tooth gear pump. In: Eur. Sci. J, Vol. 15, pp. 64-75.
Go to original source... - PECHO, P., BUGAJ, M. (2018). Vibration fault detection of fuel pump using Recurrence Quantification Analysis. In: Transportation Research Procedia, Vol. 35, pp. 287-294. Elsevier.
Go to original source... - SRIDHAR, V., CHANA, K. (2021). Development of a novel sensor for gear teeth wear and damage detection. In: International Journal of Prognostics and Health Management, Vol. 12, No. 3.
Go to original source...
This is an open access article distributed under the terms of the Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.



ORCID...