| Issue |
EPJ Web Conf.
Volume 355, 2026
4th International Conference on Sustainable Technologies and Advances in Automation, Aerospace and Robotics (STAAAR 2025)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 14 | |
| Section | Robotics, Exoskeletons and AI Modeling | |
| DOI | https://doi.org/10.1051/epjconf/202635501011 | |
| Published online | 03 March 2026 | |
https://doi.org/10.1051/epjconf/202635501011
Modeling and Simulation of Bearing Fault Response under Multivariable Conditions using MATLAB and Mathematical Formulation
Department of Mechanical, Kolhapur Institute of Technology’s College of Engineering (Empowered autonomous) Kolhapur, Shivaji University, Kolhapur, Maharashtra, India - 416234.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 3 March 2026
Abstract
Rotating Machinery plays a crucial role across various industrial sectors. Bearings are the most crucial essential part that relies on various operations. Condition monitoring techniques have proven helpful in identifying the fault signatures that occur. This paper represents the vibration analysis of a SKF 6206 deep groove ball bearing. Predictive maintenance and scrutiny of a deep groove bearing under varying speeds, as well as defect size. To imitate the presence of faults, a localized defect of rectangular spall type is generated on the outer race of the bearing. Using the numerical simulation method, MATLAB default signatures are studied and compared with the experimental data obtained from the dedicated test rig. The graphs show the presence of default frequencies in the time domain and frequency domain, along with the effect of noise and vibration on them. The results show that the Numerical simulation method of using MATLAB has been proven useful, as it is time-efficient by reducing the need for an extensive procedure of experimentation and breakdown maintenance of that particular part in the industry.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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