Microcantilevers were first introduced as imaging probes in Atomic Force Microscopy (AFM)
due to their extremely high sensitivity in measuring surface forces. The versatility of these …

An analytical model based on cumulative damage has been used for predicting the damage
evolution in composite materials. The model is verified with experimental data from a …

Predictive maintenance plays a crucial role in the field of intelligent machinery fault
diagnosis, which improves the efficiency of maintenance. This article focuses on the …

In this paper, a previously published damage tracking method is extended to provide failure
prognosis, and applied experimentally to an electromechanical system with a failing supply …

A new multivariate data analysis method called smooth orthogonal decomposition (SOD) is
proposed to extract linear normal modes and natural frequencies of multi-degree-of-freedom …

Experimental evaluation of the flexural forced vibrations of a steel cantilever beam having a
transverse surface crack extending uniformly along the width of the beam was performed …

The condition monitoring of rolling bearings has received much attention in prognostics and
health management. Real-time monitoring of the bearings' degradation provides vital …

Effective utilization of signals collected by distributed sensor networks is crucial for tracking
degradation and forecasting the remaining useful life (RUL) of rolling bearings. The phase …

This paper presents a new fatigue damage detection and monitoring approach using a
geometry-informed implementation of phase space warping (PSW). The proposed method is …

A new general dynamical systems approach to data analysis is presented that allows one to
track slowly evolving variables responsible for non-stationarity in a fast subsystem. The …