… Prognostic techniques attempt to predict the Remaining Useful Life (RUL) of a subsystem
or … An artificial neural network approach for remaining useful life prediction of equipments …

… A comprehensive prognostic process based on data collected from model-based simulations
under … In this process, the remaining useful life prediction is obtained by mixing mode-…

… This paper proposed a method of bearing RUL prediction based on Bayesian theory. Feature
indexes reflecting the degradation trend were extracted from bearing vibration signals. The …

… prognostics approach for estimating remaining useful life of … A model-based method for
remaining useful life prediction of … of prognostic algorithms for estimating remaining useful life …

… most feasible for practical prognostic of complex equipment, for example, the turbofans or
the ball screws, since the uncertainty in the machining process and the measurement noise …

… paper presents RUL prediction techniques for nuclear plant … of using TCN is its ability to
capture and process useful … system prognosis including the application of RUL prediction …

… process and predict the remaining useful life (RUL) of mechanical rotating components.
However, many existing methods … include prognostic and health management techniques. …

… -based prognostic approach for planetary gearbox by using the transmission error, which
achieved good prediction … -driven methods seem to be a feasible strategy by utilizing useful CM …

… This paper presents a new approach for rotating machine fault prognosis under broken rotor
… the remaining useful life prediction. This approach combines signal processing techniques, …

… Comparing this method with other mainstream RUL prediction methods, the score and
error control of the method proposed in this article are better than others, which proves the …