Open AccessEnvelope analysis applied to non-Hertzian contact simulations in damaged roller bearings
Author(s) -
Eugenio Brusa,
Fabio Bruzzone,
Cristiana Delprete,
Luigi Gianpio Di Maggio,
Carlo Rosso
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1038/1/012013
Subject(s) - envelope (radar) , vibration , bearing (navigation) , harmonic , signal (programming language) , contact mechanics , curvature , computer science , amplitude , structural engineering , acoustics , mechanical engineering , physics , engineering , mathematics , finite element method , optics , artificial intelligence , telecommunications , radar , geometry , programming language
In the latest years many researcher focused on the possibility to foresee the failure of a mechanical system in the early stages in order to allow quick response times. Monitoring and diagnostics are at the base of those methodologies of predictive maintenance, which represents the standard for companies. Data acquired by monitoring systems are sometimes not sufficient to perform an effective diagnosis and to detect failures. In the present work the possibility of a defining a relation between the response of a system and the dimension of a defect causing the vibration is explored. Through a non-Hertzian contact model a roller bearing is studied and a correlation is sought between the size of the defect and the frequency content of the contact pressure time history. Resorting to a non-Hertzian approach enables the determination with good accuracy of the overpressures due to edge effects caused by the sudden change in curvature in presence of a defect. The estimation of the pressure variation can be used to estimate the amplitude of the harmonic content exciting the bearing during operation. Using algorithms for the signal analysis already assessed in the literature, in particular the envelope method, an in-depth analysis of the harmonic content of the signal to consider is possible. The possibility of building a correlation between the load and the size of the defect which might help to identify the dimension of a damage from the estimated frequency content. It is then possible to identify the presence and nature of the defect, allowing an early diagnosis of the failure.