Stefano Marchesiello

TL;DR: In this article, a method in the time domain for the identification of nonlinear vibrating structures is described, which allows to estimate the coefficients of the nonlinearities away from the location of the applied excitations and also to identify the linear dynamic compliance matrix when the number of excitations is smaller than number of response locations.

TL;DR: In this paper, an analytical approach to the problem of vehicle-bridge dynamic interaction is presented, in which the bridge is modelled as a multi-span continuous isotropic plate; its response to external loads is defined by applying the mode superposition principle and taking into account both flexural and torsional mode shapes.

TL;DR: A combined automatic method is proposed to detect very small defects on roller bearings and it is shown that the combined method proposed is able to identify the states of the bearings effectively.

TL;DR: In this article, the Principal Component Analysis (PCA) was used to detect the presence of damage and also to properly distinguish among different levels of crack depths in a railway bridge with crossing loads.

TL;DR: Tried-and-tested statistical tools are exploited to learn the information about bearing damages from this massive amounts of data using inferential statistical techniques as analysis of variance (ANOVA), applied on usual statistical features, which characterize of the signal.