… the remaining useful life (RUL) of a turbofan engine. Deep learning tends to give decision-…
In this study we aimed to accurately predict the remaining useful life of the turbofan engine, …

… process are readily available for condition monitoring and remaining useful life (RUL)
prediction. … Safaei, “A neural network approach for remaining useful life prediction utilizing both …

… prediction, this paper proposes four data-driven prognostic … cost-effective approach to predict
the remaining useful life of a … cost of the training process are considerably decreased using …

… using indicators. PHM is a proactive way of implementing CBM by predicting the Remaining
Useful Life (RUL… or health indicator construction, and health prognosis or RUL prediction [10,…

… -Gaussian process regression (FE-GPR). First, the prediction of the remaining useful life (RUL…
-CART-MARS-based prognostic approach of the remaining useful life for aircraft engines,’’ …

… prediction and system prognosis with respect to better accuracy and computation efficiency.
… hybrid approach to cutting tool remaining useful life prediction based on the wiener process,…

… prediction problem using CNN-based models [23]–[26]. This article exploits the adoption of
CNN technique in estimating the RUL of bearings, as a prognosis … using the CNN technique …

… Studies in this field have focused on a novel approach, prognostic health management (… )
for predicting the remaining useful life (RUL) of a system. However, several issues remain in its …

… remaining useful life (RUL) prediction of machinery. Opportunities and challenges, as well
as future … To facilitate the selfdata-driven prognostic process, a model base involving various …

… 27] published a survey on prognostic methods used for the … predict the remaining useful life
(RUL) of engines on NASA turbo engine datasets. The result of the prediction provides useful …