Model reduction and dynamic matrices extraction from state-space representation applied to rotating machines

Model reduction and dynamic matrices extraction from state-space representation applied to rotating machines

Leonardo B. Saint Martin, Ricardo U. Mendes, Katia L. Cavalca

ARTIGO

Inglês

Model reduction is a relevant subject within the field of rotordynamics since low order models are fundamental for control strategies design and implementation, health monitoring, behavior prediction, Fault Detection and Identification (FDI) and stochastic analyses. In this context, this article...

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

Fechado

Model reduction and dynamic matrices extraction from state-space representation applied to rotating machines

Leonardo B. Saint Martin, Ricardo U. Mendes, Katia L. Cavalca


										

Model reduction and dynamic matrices extraction from state-space representation applied to rotating machines

Leonardo B. Saint Martin, Ricardo U. Mendes, Katia L. Cavalca

    Fontes

    Mechanism and machine theory

    Vol. 149 (July, 2020), n. art. 103804