Brownian motion (BM) has been widely used for degradation modeling and remaining
useful life (RUL) prediction, but it is essentially Markovian. This implies that the future state in …

Safety and reliability of large critical infrastructure such as long-span bridges, high-rise
buildings, nuclear power plants, high-voltage transmission towers, rotating machinery, and …

In this paper, we propose a generalized Wiener process-based degradation model with an
adaptive drift to characterize the degradation behavior exhibiting nonlinearity, temporal …

Remaining useful life (RUL) prediction is fundamental to prognostics and health
management (PHM). Considering the advantages of both model-based and data-driven …

To deal with age-and state-dependent degradation, unit-to-unit variability and partially
observable or hidden degradation in remaining useful life prediction jointly, this paper …

Accurate parameters estimation is one of the most crucial components in remaining useful
life (RUL) prediction. This paper proposes an unbiased parameters estimation method and …

Ensuring the reliable operation of electric vehicles relies on accurate predictions of the
remaining useful life (RUL) for lithium batteries. Existing model-based prediction methods …

Evidential variable has been applied in Wiener process based reliability estimation due to its
powerful ability on parameter describing. The previously published evidential variable and …

Journal bearings are the key components of the nuclear circulating water pump (NCWP),
and accurate remaining useful life (RUL) prediction is of great significance for improving the …

Nonlinear Wiener processes have been widely applied for degradation analysis in practical
engineering. To improve the accuracy of failure time distribution approximation itself, a novel …