2009
DOI: 10.1080/10402000902913295
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Identifying Bearing Rotor-Dynamic Coefficients Using an Extended Kalman Filter

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Cited by 13 publications
(7 citation statements)
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“…Using a numerical technique, Adiletta et al 17 analyzed the influence of trigonometric-wave profiles on nonlinear behaviors of a rigid rotor. To estimate the linearized direct and indirect stiffness and damping force coefficients for bearings in rotor dynamic applications, Miller and Howard 18 developed an extended Kalman filter, and the directed damping coefficients and four stiffness coefficients correlated well with actual values. Using a symmetrical single-disk rotorbearing system as a model, Zhao et al 19 conducted a numerical analysis to investigate non-linear transient and unbalanced responses.…”
Section: Introductionmentioning
confidence: 99%
“…Using a numerical technique, Adiletta et al 17 analyzed the influence of trigonometric-wave profiles on nonlinear behaviors of a rigid rotor. To estimate the linearized direct and indirect stiffness and damping force coefficients for bearings in rotor dynamic applications, Miller and Howard 18 developed an extended Kalman filter, and the directed damping coefficients and four stiffness coefficients correlated well with actual values. Using a symmetrical single-disk rotorbearing system as a model, Zhao et al 19 conducted a numerical analysis to investigate non-linear transient and unbalanced responses.…”
Section: Introductionmentioning
confidence: 99%
“…Then, for the coefficient of linear viscous friction is used γ = 55 Ns/mm, according to Eq. 7 and [24]. The excitation force amplitudes are assumed to be equal as follows:…”
Section: Numerical Solutionmentioning
confidence: 99%
“…EKF has been used to estimate the linearized direct and indirect stiffness and damping force coefficients for bearings in rotor-dynamic applications from noisy measurements of the shaft displacement in response to imbalance and impact excitation [10].…”
mentioning
confidence: 99%