A Proposal of a Technique for Correlating Defect Dimensions to Vibration Amplitude in Bearing Monitoring

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jul 22, 2020
Eugenio Brusa
Fabio Bruzzone
Cristiana Delprete
Luigi Di Maggio
Carlo Rosso

Abstract

The capability of early stage detection of a defect is gaining more and more importance because it can help the maintenance process, the cost reduction and the reliability of the systems.

The increment of vibration amplitude is a well-known method for evaluating the damage of a component, but it is sometimes difficult to understand the exact level of damage. In other words, the amplitude of vibration cannot be directly connected to the dimension of the defect.

In the present paper, based on a non-Hertzian contact algorithm, the spectrum of the pressure distribution in the contact surface between the race and the rolling element is evaluated. Such spectrum is then compared with the acquired spectrum of a vibration response of a defected bearing. The bearing vibration pattern was previously analyzed with monitoring techniques to extract all the damage information.

The correlation between the spectrum of the pressure distribution in the defected contact surface and the analyzed spectrum of the damaged bearing highlights a strict relationship. By using that analysis, a precise correlation between defect aspect and dimension and vibration level can be addressed to estimate the level of damaging.

How to Cite

Brusa, E., Bruzzone, F., Delprete, C., Di Maggio, L., & Rosso, C. (2020). A Proposal of a Technique for Correlating Defect Dimensions to Vibration Amplitude in Bearing Monitoring. PHM Society European Conference, 5(1), 14. https://doi.org/10.36001/phme.2020.v5i1.1236
Abstract 454 | PDF Downloads 340

##plugins.themes.bootstrap3.article.details##

Keywords

Condition-Based Monitoring, Bearing Monitoring, non-Hertzian pressure distribution

Section
Technical Papers

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.