Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
Degradation-based modeling methods have been recognized as an essential and effective
approach for lifetime and remaining useful life (RUL) estimations for various health …
approach for lifetime and remaining useful life (RUL) estimations for various health …
Dependent failure behavior modeling for risk and reliability: A systematic and critical literature review
This paper presents a systematic and critical literature review on dependent failure behavior
modeling in risk and reliability. A literature search is conducted systematically based on pre …
modeling in risk and reliability. A literature search is conducted systematically based on pre …
Product technical life prediction based on multi-modes and fractional Lévy stable motion
Some equipment degradation processes have long-range dependence (LRD) and multi-
modes characteristics. The multi-modes are caused by changes of the external environment …
modes characteristics. The multi-modes are caused by changes of the external environment …
Remaining useful life prediction for multi-sensor systems using a novel end-to-end deep-learning method
Y Zhao, Y Wang - Measurement, 2021 - Elsevier
Remaining useful life (RUL) prediction plays a crucial role in ensuring reliability and safety
of modern engineering systems. For complicated systems, the indirect manner of the …
of modern engineering systems. For complicated systems, the indirect manner of the …
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 …
Multifractional Brownian Motion and Quantum‐Behaved Partial Swarm Optimization for Bearing Degradation Forecasting
Gradual degradation of the bearing vibration signal is usually studied as a nonstationary
stochastic time series. Roller bearings are working at high speed in a heavy load …
stochastic time series. Roller bearings are working at high speed in a heavy load …
Multivariate degradation modeling using generalized cauchy process and application in life prediction of dye-sensitized solar cells
Abstract Recently, the Generalized Cauchy (GC) process has been applied to capture a
Long Memory (LM) phenomenon in product degradation modeling and life prediction …
Long Memory (LM) phenomenon in product degradation modeling and life prediction …
Deep learning the Hurst parameter of linear fractional processes and assessing its reliability
D Boros, B Csanády, I Ivkovic, L Nagy… - Quality and …, 2024 - Wiley Online Library
This research explores the reliability of deep learning, specifically Long Short‐Term Memory
(LSTM) networks, for estimating the Hurst parameter in fractional stochastic processes. The …
(LSTM) networks, for estimating the Hurst parameter in fractional stochastic processes. The …
Fractional Lévy stable motion with LRD for RUL and reliability analysis of li-ion battery
H Liu, W Song, E Zio - ISA transactions, 2022 - Elsevier
Abstract The Remaining Useful Life (RUL) is important for reliability analysis of li-ion battery.
Reliability of li-ion battery decreases with shortened the RUL. The RUL of li-ion battery can …
Reliability of li-ion battery decreases with shortened the RUL. The RUL of li-ion battery can …
A Hierarchical Approach for Finite-Time H- State-of-Charge Observer and Probabilistic Lifetime Prediction of Lithium-Ion Batteries
Accurate state-of-charge (SOC) estimation and lifetime prognosis of lithium-ion batteries are
of great significance for reliable operations of energy storage systems. This paper proposes …
of great significance for reliable operations of energy storage systems. This paper proposes …