Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set

S Vollert, A Theissler - 2021 26th IEEE international conference …, 2021 - ieeexplore.ieee.org
The estimation of a system's or a component's remaining useful life (RUL) is considered the
most complex task in predictive maintenance, at the same time the most beneficial one. In …

Stochastic process-based degradation modeling and RUL prediction: from Brownian motion to fractional Brownian motion

H Zhang, M Chen, J Shang, C Yang, Y Sun - Science China Information …, 2021 - Springer
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 …

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 …

Remaining useful life prediction for Lithium-ion batteries using fractional Brownian motion and Fruit-fly Optimization Algorithm

H Wang, W Song, E Zio, A Kudreyko, Y Zhang - Measurement, 2020 - Elsevier
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 …

Rolling bearing health prognosis using a modified health index based hierarchical gated recurrent unit network

X Li, H Jiang, X Xiong, H Shao - Mechanism and Machine Theory, 2019 - Elsevier
Rolling bearing health prognosis is helpful to improve the operation efficiency and security
of rotating machinery. In this paper, a modified health index based hierarchical gated …

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 …

Wiener degradation models with scale-mixture normal distributed measurement errors for RUL prediction

R Ge, Q Zhai, H Wang, Y Huang - Mechanical Systems and Signal …, 2022 - Elsevier
When the field collected data is biased by unexpected errors due to sensors and
measurement, simple Wiener process may fail to correctly estimate the true degradation …

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 …

Nonlinear-drifted fractional brownian motion with multiple hidden state variables for remaining useful life prediction of lithium-ion batteries

H Zhang, Z Mo, J Wang, Q Miao - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Lithium-ion rechargeable batteries are widely used in various electronic products and
equipment due to their immense benefits in power supplying. The exact remaining useful life …

Joint optimization of preventive maintenance and inventory management for standby systems with hybrid-deteriorating spare parts

JX Zhang, DB Du, XS Si, CH Hu, HW Zhang - Reliability Engineering & …, 2021 - Elsevier
As an effective way to enhance the system reliability, the standby redundancy technique has
been widely applied in many industrial systems. Finding methods to determine the …