condition monitoring of bldc motors due to their important applications is gaining more and more significance. rotor eccentricity is one of the most important sources of faults in these motors. up to now, detection methods of this fault under nonstationary conditions are limited to complicated and time-consuming methods using wavelets and cohen class algorithms which are difficult to implement ...

Numerical models can be valuable tools in the prediction of seepage. The results can often be misleading if proper variational analysis is not performed. Measurement of the soil-water characteristic curve (SWCC) or saturated and unsaturated hydraulic conductivity information is often neglected or minimized. The modeller is therefore forced to develop a seepage model based on estimated soil prop...

The Stochastic Finite Element Method has seen a number of incarnations over the past few years, ranging from perturbation-based methods, and Neumann-expansion based methods, to methods for evaluating bounds on the response variability, and more recent functional expansions combined with error minimization techniques. Of these, only the last class of methods provides an explicit expression to th...

An extension of the deterministic variational multiscale (VMS) approach with algebraic subgrid scale (SGS) modeling is considered for developing stabilized finite element formulations for the stochastic advection and the incompressible stochastic Navier-Stokes equations. The stabilized formulations are numerically implemented using the spectral stochastic formulation of the finite element metho...