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Type: Artigo
Title: A parametric model to identify hydrodynamic bearing wear at a single rotating speed
Author: Alves, Diogo Stuani
Fieux, Gauthier
Machado, Tiago Henrique
Keogh, Patrick S.
Cavalca, Katia Lucches
Abstract: For dynamic systems, fault detection and diagnosis involve the observation of vibration signals. Faults associated with hydrodynamic bearings are one of the most common causes of forced shutdowns in rotating machinery. If it is a wear fault, the bearing clearance is affected changing the rotating system characteristics. Therefore, the time response of a rotating machine subjected to worn hydrodynamic bearings is analysed to observe the vibration behaviour in presence of bearing wear. Spectral analysis is used to understand intact and worn bearing characteristics and to identify wear severity. For the wear, an improved and new parametric model is generated to increase simulation accuracy. The new approach indicates the severity of wear in the studied hydrodynamic bearings
Subject: Analisadores de espectro
Country: Reino Unido
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.triboint.2020.106640
Date Issue: 2021
Appears in Collections:FEM - Artigos e Outros Documentos

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