Stochastic collocation approach to bayesian inference applied to rotating system parameter identification

Stochastic collocation approach to bayesian inference applied to rotating system parameter identification

G.Y. Garoli, N.C. Tyminski, H.F. de Castro

ARTIGO

Inglês

The analyzed problem is the identification of fault parameters taking into account the stochastic characteristic of the system. The objective is to estimate the unbalance parameters, as the unbalance moment, phase angle and axial position of the unbalance force applied to the rotor. Therefore,...

COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES

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

Fechado

Stochastic collocation approach to bayesian inference applied to rotating system parameter identification

G.Y. Garoli, N.C. Tyminski, H.F. de Castro


										

Stochastic collocation approach to bayesian inference applied to rotating system parameter identification

G.Y. Garoli, N.C. Tyminski, H.F. de Castro

    Fontes

    Mechanisms and machine science

    Vol. 63 (Aug., 2018), p. 401-415