… use a small number of condition indicators and/or use a thresholding strategies in order to
predict the remaining useful life (… age and CM data as inputs to estimate the RUL. The key idea …

… useful life (RUL) is the useful life left on an asset at a particular time of operation. Its estimation
… The research on how to best estimate the RUL has gained popularity recently due to the …

… In this section, we use a simple use rate model to predict the life … complicated prediction
problems with two failure modes. … The ML estimate agrees well with the Kaplan–Meier estimate …

… in order to estimate the current state of the system and to predict its future one, and thus …
[26] where the KaplanMeier estimator is used to model complete and incomplete monitoring …

… We estimate the RUL and its probability of failure corresponding to each sequential data and
then construct the Kaplan-Meier survival curve. Figure 4 shows the predicted and the actual …

… prediction of the battery’s performance, health, and life is necessary. In this paper, we estimate
the remaining useful life (… the statistical Kaplan Meier estimator for remaining useful time …

… }(t)\); KM-TSNN uses a Kaplan-Meier (KM) estimator to fill in the RULs for censored cases,
according to the method introduced in [17]; KM-SNN uses a KM estimator to fill in the RULs for …

… In this paper, we use the deep CNN model to predict the RUL of … useful life prediction using
prognostic methodology based on logical analysis of data and Kaplan–Meier estimation,’’ J. …

… This paper proposes a novel intelligent remaining useful life (RUL) prediction method based
… Kaplan-Meier estimation technique and logical analysis of data [22] are used to capture the …

… To avoid undesired consequences due to bearings failure, researchers have developed
several remaining useful life (RUL) prediction methods to estimate the failure of the rolling …