Validation of a physics-based model of a rotating machine for synthetic data generation in hybrid diagnosis
Number of Authors: 3
(English)In: Structural Health Monitoring, ISSN 1475-9217, E-ISSN 1741-3168Article in journal (Refereed) Accepted
Diagnosis and prognosis are key issues in the application of condition based maintenance. Thus, there is a need to evaluate the condition of a machine. Physics-based models are of great interest as they give the response of a modelled system in different operating conditions. This strategy allows the generation of synthetic data that can be used in combination with real data acquired by sensors to improve maintenance. The paper presents an electromechanical model for a rotating machine, with special emphasis on the modelling of rolling element bearings. The proposed model is validated by comparing the simulation results and the experimental results in different operating conditions and different damaged states. This comparison shows good agreement, obtaining differences up to 10 % for the modelling of the whole rotating machine and less than 0.6 % for the model of the bearing.
condition based maintenance, diagnosis, physics-based modelling, rotating machine, rolling element bearing, experimental validation, vibration, damage
Reliability and Maintenance
Research subject Operation and Maintenance
IdentifiersURN: urn:nbn:se:ltu:diva-59537OAI: oai:DiVA.org:ltu-59537DiVA: diva2:1033211