“RMS Based Health Indicators for Remaining Useful Lifetime Estimation of Bearings”
Authors: Andreas Klausen, Hyunh van Khang and Kjell G. Robbersmyr,Affiliation: University of Agder
Reference: 2022, Vol 43, No 1, pp. 21-38.
Keywords: Ball bearings, Remaining useful life, Particle filter, Paris' law, Vibration measurement
Abstract: Estimating the remaining useful life (RUL) of bearings from healthy to faulty is important for predictive maintenance. The bearing fault severity can be estimated based on the energy or root mean square (RMS) of vibration signals, and a stopping criterion can be set based on a threshold given by an ISO standard. However, the vibration RMS is often not monotonically increasing with damage, which renders a challenge for predicting the RUL. This study proposes a novel method for splitting the vibration signal into multiple frequency bands before RMS calculations to generate multiple health indicators. Monotonic health indicators are identified using the Spearman coefficient, and the RUL is afterward estimated for each indicator using a suitable model and parameter update scheme. Historical failure data is not required to set any parameters. The proposed method is tested with the Paris' law, where parameters are updated by particle filters. Experimental results from two test rigs validate the performance of the proposed method.
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DOI: 10.4173/mic.2022.1.3DOI forward links to this article:
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BibTeX:
@article{MIC-2022-1-3,
title={{RMS Based Health Indicators for Remaining Useful Lifetime Estimation of Bearings}},
author={Klausen, Andreas and van Khang, Hyunh and Robbersmyr, Kjell G.},
journal={Modeling, Identification and Control},
volume={43},
number={1},
pages={21--38},
year={2022},
doi={10.4173/mic.2022.1.3},
publisher={Norwegian Society of Automatic Control}
};