Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
Determination and in situ detection of bearing radial clearance are studied using vibration spectra detected by acceleration sensors applied to double-row self-aligning ball bearings. We applied three different methods for the determination of bearing clearance and present the results: a) using neural networks, b) calculating the spectral kurtosis of the corresponding spectra and c) performing recurrence plots and recurrence quantification analysis for various bearing clearances. The statistical results and corresponding quantificators show reliable in service detection and monitoring of the clearance.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings |
| Number of pages | 4 |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 11.2019 |
| Article number | 8956597 |
| ISBN (print) | 978-1-7281-1635-8 |
| ISBN (electronic) | 978-1-7281-1634-1 |
| DOIs | |
| Publication status | Published - 11.2019 |
| Event | IEEE Sensors - IEEE 2019 - Palais des Congres de Montreal, Montreal, Canada Duration: 27.10.2019 → 30.10.2019 https://ieee-sensors2019.org/ |
- Engineering - Condition Monitoring and Prediction, Bearing Rolling Element, Ball Bearing, Vibration, Bearing Clearance, Recurrence Plots, Recurrence Quantification Analysis, Neural Network