Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-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 languageEnglish
Title of host publication2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings
Number of pages4
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date11.2019
Article number8956597
ISBN (print)978-1-7281-1635-8
ISBN (electronic)978-1-7281-1634-1
DOIs
Publication statusPublished - 11.2019
EventIEEE Sensors - IEEE 2019 - Palais des Congres de Montreal, Montreal, Canada
Duration: 27.10.201930.10.2019
https://ieee-sensors2019.org/

    Research areas

  • Engineering - Condition Monitoring and Prediction, Bearing Rolling Element, Ball Bearing, Vibration, Bearing Clearance, Recurrence Plots, Recurrence Quantification Analysis, Neural Network