| Issue |
EPJ Web Conf.
Volume 347, 2026
2025 SAIMechE Central Branch Conference on Mechanical Engineering and Related Disciplines (SCMERD 2025)
|
|
|---|---|---|
| Article Number | 02006 | |
| Number of page(s) | 9 | |
| Section | Mechanics, Structures and Vibrations | |
| DOI | https://doi.org/10.1051/epjconf/202634702006 | |
| Published online | 14 January 2026 | |
https://doi.org/10.1051/epjconf/202634702006
Experimental Detection of Spur Gear Eccentricity Severity Through Denoised FFT and STFT Analysis
Vaal University of Technology, Vanderbijlpark, Department of Industrial Engineering, Operations Management and Mechanical Engineering, South Africa.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 14 January 2026
Eccentricity in spur gears commonly results from manufacturing tolerances and assembly errors, generating periodic geometric deviations that affect gear-mesh dynamics and vibration signatures. An experimental study is undertaken to assess eccentricity severity using denoised Fast Fourier Transform (FFT) and Short-Time Fourier Transform (STFT) analyses. The experimental setup consists of a two-stage spur gearbox test rig fitted with radial accelerometers on the bearing housings of both the input and output shafts. Fault severity was systematically varied by attaching eccentric masses of 200 g, 400 g, and 890 g to the driven gear while maintaining constant operating conditions. Prior to frequency analysis, vibration signals were processed with a causal IIR filter to reduce background noise. FFT results showed a clear amplification of sidebands around the gear-mesh frequency and its harmonics as eccentricity increased. STFT representations further highlighted persistent and evenly spaced time–frequency components aligned with the mesh frequency, particularly at higher eccentricity levels.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

