[HTML][HTML] A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries
As widely used for secondary energy storage, lithium-ion batteries have become the core
component of the power supply system and accurate remaining useful life prediction is the …
component of the power supply system and accurate remaining useful life prediction is the …
[HTML][HTML] A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process
This paper proposes a novel hybrid method aiming at the fault prognosis of bearings. A
nonlinear health indicator (HI) is first constructed using Complete Ensemble Empirical Mode …
nonlinear health indicator (HI) is first constructed using Complete Ensemble Empirical Mode …
Failure prognosis and applications—A survey of recent literature
Fault diagnosis and prognosis are some of the most crucial functionalities in complex and
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …
Battery health prognosis using Brownian motion modeling and particle filtering
The prognostics and health management of lithium-ion batteries is extremely important for
the working performance and cost of energy storage systems. Accurately forecasting battery …
the working performance and cost of energy storage systems. Accurately forecasting battery …
Stochastic process-based degradation modeling and RUL prediction: from Brownian motion to fractional Brownian motion
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 …
useful life (RUL) prediction, but it is essentially Markovian. This implies that the future state in …
Long-range dependence and heavy tail characteristics for remaining useful life prediction in rolling bearing degradation
W Song, H Liu, E Zio - Applied Mathematical Modelling, 2022 - Elsevier
In practice, the processes of degradation of inductive components and produced have long-
range dependence characteristic, whereby the future degradation evolution is related to …
range dependence characteristic, whereby the future degradation evolution is related to …
Remaining useful life prediction for Lithium-ion batteries using fractional Brownian motion and Fruit-fly Optimization Algorithm
In this paper, a novel method base on non-Markovian Fractional Brownian Motion (FBM) is
proposed for Lithium-ion batteries remaining useful life (RUL) prediction. Firstly, the FBM …
proposed for Lithium-ion batteries remaining useful life (RUL) prediction. Firstly, the FBM …
A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes
H Liu, W Song, Y Niu, E Zio - Mechanical Systems and Signal Processing, 2021 - Elsevier
The accurate estimate of the Remaining Useful Life (RUL) of mechanical tools is a
fundamental problem in Engineering. This prediction often implies the knowledge and …
fundamental problem in Engineering. This prediction often implies the knowledge and …
A deep learning based data fusion method for degradation modeling and prognostics
Degradation modeling is a critical and challenging problem as it serves as the basis for
system prognostics and evolution mechanism analysis. In practice, multiple sensors are …
system prognostics and evolution mechanism analysis. In practice, multiple sensors are …
Generalized Cauchy degradation model with long-range dependence and maximum Lyapunov exponent for remaining useful life
H Liu, W Song, Y Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A new long-range-dependent (LRD) degradation model is described based on the
generalized Cauchy (GC) process. The GC process is a two-parameter model, which …
generalized Cauchy (GC) process. The GC process is a two-parameter model, which …