A parametric model to identify hydrodynamic bearing wear at a single rotating speed

Author(s)

Alves, Diogo Stuani ^[1] ; Fieux, Gauthier ^[2] ; Machado, Tiago Henrique ^[1] ; Keogh, Patrick S. ^[2] ; Cavalca, Katia Lucchesi ^[1]

Affiliation

^[1] Univ Estadual Campinas, Lab Rotating Machinery, Fac Mechan Engn, 200 Rua Mendeleyev, BR-13083860 Campinas, SP - Brazil

^[2] Univ Bath, Dept Mech Engn, Bath BA2 7AY, Avon - England

• Document type: Journal article
• Source: TRIBOLOGY INTERNATIONAL; v. 153, JAN 2021.
• Web of Science Citations: 4

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. (AU)

• FAPESP's process: 18/24600-0 - Experimental evaluation of a fault model for wear in hydrodynamic bearings
• Grantee: Diogo Stuani Alves
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• FAPESP's process: 15/20363-6 - Fault tolerant identification and control of rotating systems
• Grantee: Katia Lucchesi Cavalca Dedini
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 18/21581-5 - Experimental evaluation of a fault model for wear in hydrodynamic bearings.
• Grantee: Diogo Stuani Alves
• Support Opportunities: Scholarships in Brazil - Post-Doctoral