journal article·2025-07-02Open access

Development of Technical Diagnostics for Lubrication in Gear Modules for Advanced Robotic Applications

Silvia Maláková, Ľubomír Ilečko, Tibor Krenicky, Marian Dzimko

Applied Sciences· Volume 15· Issue 13

Abstract

The paper focuses on the experimental investigation of the impact of filtration and tribological parameters on the reliability, service life, and functional characteristics of gear mechanisms used in robotics. The primary objective was to analyze the importance of lubricant cleanliness in robotic transmission modules and to assess the effectiveness of filtration as a preventive and protective measure. As part of the research, a dedicated test rig was designed and developed. Based on the measurements and analyses performed, a significant correlation was confirmed between lubricant contamination levels and degradation phenomena in transmission modules. The study also highlights a sharp increase in contamination during the initial hours of operation, emphasizing the need for early intervention and continuous monitoring. The findings have strong practical potential and are highly relevant for manufacturers of robotic systems, maintenance service providers, and operators of automated production lines. The results contribute to increased system reliability and extended service life, reduced maintenance and repair costs, and improved environmental aspects of robotic system maintenance.
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Research context

OpenAlex topics: Lubricants and Their Additives · Gear and Bearing Dynamics Analysis · Technical Engine Diagnostics and Monitoring

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

Affiliations

Faculty of Mechanical Engineering, Technical University of Košice, Letná 1/9, 04200 Košice, Slovakia

eROBOT, j.s.a., Pavlovičova 175/23, 089 01 Svidník, Slovakia

Department of Design and Monitoring of Technical Systems, Faculty of Manufacturing Technologies with a Seat in Prešov, Technical University of Košice, Bayerova 1, 080 01 Prešov, Slovakia

Department of Design and Mechanical Elements, Faculty of Mechanical Engineering, University of Žilina, 010 26 Žilina, Slovakia

Funding

Ministry of Education, Research, Development and Youth of the Slovak Republic · EU’s NextGenerationEU

References (25)

Show source-provided references
1. Tiboni, M., Remino, C., Bussola, R., and Amici, C. (2022). A Review on Vibration-Based Condition Monitoring of Rotating Machinery. Appl. Sci., 12.10.3390/app12030972 ↗
2. The Study of the Impact of Oil Type and Throttling Pressure on the Vibrations of a Gear Pump10.12913/22998624/201216 ↗
3. Fault Diagnosis of Bevel Gears Using Neural Pattern Recognition and MLP Neural Network Algorithms10.1007/s12541-020-00320-0 ↗
4. Online Condition Monitoring of Misaligned Meshing Gears Using Wear Debris and Oil Quality Sensors10.1108/ILT-05-2016-0106 ↗
5. Monitoring of Ball Bearing Operation under Grease Lubrication Using a New Compound Diagnostic System Detecting Vibration and Acoustic Emission10.1080/10402000902913345 ↗
6. Farhat, M.H., Gelman, L., Conaghan, G., Kluis, W., and Ball, A. (2022). Novel Diagnosis Technologies for a Lack of Oil Lubrication in Gearmotor Systems, Based on Motor Current Signature Analysis. Sensors, 22.10.3390/s22239507 ↗
7. A Review of Vibration-Based Gear Wear Monitoring and Prediction Techniques10.1016/j.ymssp.2022.109605 ↗
8. A Roadmap to Fault Diagnosis of Industrial Machines via Machine Learning: A Brief Review10.1016/j.measurement.2024.116216 ↗
9. Olejarova, S., and Krenicky, T. (2021). Influence of Vibration Magnitude in Machining of Materials by Turning Technology. MM Sci. J., 4886–4890.10.17973/MMSJ.2021_10_2021118 ↗
10. Su, B., and Wang, L. (2010, January 7–9). Study on Control System of Grease Lubrication. Proceedings of the 2010 8th World Congress on Intelligent Control and Automation, Jinan, China.
11. Peng, H., Chen, Y., Shangguan, L., Cheng, R., Li, Y., and Yang, C. (2023). Multi-Objective-Based Intelligent Lubrication System Performance Evaluation Technology for Construction Machinery. Appl. Sci., 13.10.3390/app132111768 ↗
12. Network Analysis of an Engine Lubrication System10.1016/S0301-679X(02)00266-9 ↗
13. A Unified System Residual Life Prediction Method Based on Selected Tribodiagnostic Data10.1109/ACCESS.2019.2908659 ↗
14. On the issue of the formation of tribodiagnostic models of ship WATERS in operation
15. Murčinková, Z., Živčák, J., and Sabol, D. (2023). Torsional Vibrations in the Resonance of High-Speed Rotor Bearings Reduced by Dynamic Properties of Carbon Fiber Polymer Composites. Materials, 16.10.3390/ma16093324 ↗
16. Demčák, J., Židek, K., and Krenický, T. (2024). Digital Twin for Monitoring the Experimental Assembly Process Using RFID Technology. Processes, 12.10.3390/pr12071512 ↗
17. Zhang, R., Yu, Z., Fan, Z., Wang, S., Xiang, Y., Liu, Y., and Wang, Z. (2025). Sensor for a Solid–Liquid Tribological System. Sensors, 25.10.3390/s25020437 ↗
18. Prada, E., Varga, M., Virgala, I., Mikova, Ľ., and Kelemen, M. (2023). Model—Based methodology for designing automated workplaces. MM Sci. J., 7076–7084.10.17973/MMSJ.2023_12_2023066 ↗
19. A Facile Approach to Fabricate a Stabilized Slippery Lubricant-Infused Porous Surface with Dynamic Omniphobicity for Self-Cleaning10.1039/D4RA03770G ↗
20. (2011). Cleanliness Requirements of Parts Used in Hydraulic Systems (Revision 4), National Aerospace Standard (Standard No. NAS 1638).
21. (2021). Hydraulic Fluid Power—Fluids—Method for Coding the Level of Contamination by Solid Particles Edition 4 (Standard No. ISO 4406:2021).
22. U.S. Navy (2006). NAVAIR 01-1A-17: Technical Manual Organizational, Intermediate and Depot Maintenance Aviation Hydraulics Manual (Change 2, August 1), 2014, Naval Air Systems Command.
23. Khan, S., Dyrstad-Cincotta, N., Nasah, J., Bhat, A., Rickson, J., and Mann, M. (November, January 30). Electrostatic Lubricant Filter Design Study. Proceedings of the 2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Denver, CO, USA.10.1109/CEIDP55452.2022.9985356 ↗
24. Current and Candidate Additives for Environmentally Acceptable Lubricants—A Review
25. Condition-Based Monitoring on High-Precision Gearbox for Robotic Applications