Remaining useful life prediction of lithium-ion battery with adaptive noise estimation and capacity regeneration detection
As an indispensable energy device, 18650 lithium-ion battery has widespread applications
in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for …
in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for …
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit
Remaining useful life (RUL) prediction plays a crucial role in bearing health management
which can guarantee the rotating machinery systems' safety and reliability. This paper …
which can guarantee the rotating machinery systems' safety and reliability. This paper …
A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation
With the development of smart manufacturing, the health monitoring of the machines has
become important. Remaining useful life (RUL) estimation, which could predict the future …
become important. Remaining useful life (RUL) estimation, which could predict the future …
RUL prediction for rolling bearings based on Convolutional Autoencoder and status degradation model
W Xu, Q Jiang, Y Shen, F Xu, Q Zhu - Applied Soft Computing, 2022 - Elsevier
The remaining useful life (RUL) prediction of rolling bearings plays a key role in improving
the safety and reliability assessment for rotating machinery. To accurately describe the …
the safety and reliability assessment for rotating machinery. To accurately describe the …
Feature fusion model based health indicator construction and self-constraint state-space estimator for remaining useful life prediction of bearings in wind turbines
X Li, W Teng, D Peng, T Ma, X Wu, Y Liu - Reliability Engineering & System …, 2023 - Elsevier
Accurate remaining useful life prognosis of bearings in wind turbines is beneficial for
operation and maintenance schedule at wind farms. The major technical challenges include …
operation and maintenance schedule at wind farms. The major technical challenges include …
Degradation modeling and RUL prediction with Wiener process considering measurable and unobservable external impacts
S Zhang, Q Zhai, Y Li - Reliability Engineering & System Safety, 2023 - Elsevier
Degradation of products in field depends heavily on the external operating environment. The
external factors, such as temperature and working load, are often time-varying or stochastic …
external factors, such as temperature and working load, are often time-varying or stochastic …
Remaining useful life prediction of rolling bearing under limited data based on adaptive time-series feature window and multi-step ahead strategy
W Kong, H Li - Applied Soft Computing, 2022 - Elsevier
Predicting the remaining useful life (RUL) of rolling bearings can effectively prevent the
breakdown of rotating machinery systems and catastrophic accidents. Most existing RUL …
breakdown of rotating machinery systems and catastrophic accidents. Most existing RUL …
Summarization of remaining life prediction methods for special power plants
W Liang, C Li, L Zhao, X Yan, S Sun - Applied Sciences, 2023 - mdpi.com
With continuous improvements in integration, totalization and automation, remaining useful
life predictions of mechanical equipment have become a key feature of technology and core …
life predictions of mechanical equipment have become a key feature of technology and core …
Implicit Kalman filtering method for remaining useful life prediction of rolling bearing with adaptive detection of degradation stage transition point
G Li, J Wei, J He, H Yang, F Meng - Reliability Engineering & System Safety, 2023 - Elsevier
Remaining useful life (RUL) prediction is a vital task in rolling bearing prognostics and
health management (PHM) process. Kalman filtering (KF) is one of the hot spots in the …
health management (PHM) process. Kalman filtering (KF) is one of the hot spots in the …
Remaining useful life estimation based on a nonlinear Wiener process model with CSN random effects
Remaining useful life (RUL) prediction of rolling bearings is crucial to equipment operation
and maintenance. The data-driven Wiener-based methods have aroused widespread …
and maintenance. The data-driven Wiener-based methods have aroused widespread …