This paper presents a novel multi-time scale approach to bearing defect tracking and
remaining useful life (RUL) prediction, which integrates enhanced phase space warping …

Machine prognosis is a significant part of condition-based maintenance and intends to
monitor and track the time evolution of a fault so that maintenance can be performed or the …

This paper proposes a novel approach for machine health condition prognosis based on
neuro-fuzzy systems (NFSs) and Bayesian algorithms. The NFS, after training with machine …

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 …

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

In this article, we propose a practical prognosis approach. It estimates online the remaining
duration of the system before the system performance requirements are no longer met to …

Electrochemical systems are ideal working-horses for studying oscillatory dynamics.
Experimentally obtained time series, however, are usually associated with a spontaneous …

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 reliable monitoring system is critically needed in a wide range of industries to detect the
occurrence of a fault to prevent machinery performance degradation, malfunction, and …

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 …