... rotordynamics nonparametric stochastic modeling random matrices Rotordynamic analyses have traditionally been carried out assuming that the properties of the system, material (e.g., Young's modulus, density, bearing stiffnesses, and damping coefficients) and geometrical (e.g., dimensions and alignment...

... of rotordynamic systems. uncertainty uncertain rotor uncertain bearings rotordynamics nonparametric stochastic modeling random matrices A series of algorithms were described in the first part of this series ( 1 ) to simulate an ensemble of uncertain stiffness, mass, gyroscopic, and centripetal...

... of its features are invariably ignored, e.g., small anisotropies, or approximately represented, e.g., detailed meshing of gears. The nonparametric stochastic modeling approach, which is briefly reviewed first, introduces uncertainty in reduced order models through the randomization of their system...