A parametric model to identify hydrodynamic bearing wear at a single rotating speed
Diogo Stuani Alves, Gauthier Fieux, Tiago Henrique Machado, Patrick S. Keogh, Katia Lucches Cavalca
ARTIGO
Inglês
Agradecimentos: The authors thank The São Paulo Research Foundation - FAPESP - , grants #2015/20363-6, #2018/21581-5 and #2018/24600–0 for the financial support
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...
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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
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FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2015/20363-6; 2018/21581-5; 2018/24600–0
Fechado
A parametric model to identify hydrodynamic bearing wear at a single rotating speed
Diogo Stuani Alves, Gauthier Fieux, Tiago Henrique Machado, Patrick S. Keogh, Katia Lucches Cavalca
A parametric model to identify hydrodynamic bearing wear at a single rotating speed
Diogo Stuani Alves, Gauthier Fieux, Tiago Henrique Machado, Patrick S. Keogh, Katia Lucches Cavalca
Fontes
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Tribology international Vol. 153 (Jan., 2021), n. art. 106640 |