Multi-task learning mixture density network for interval estimation of the remaining useful life of rolling element bearings
Existing remaining useful life (RUL) predictions of rolling element bearings have the
following shortcomings. 1) Model-driven methods typically employ a sole model for …
following shortcomings. 1) Model-driven methods typically employ a sole model for …
Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing
L Cui, Y Xiao, D Liu, H Han - Reliability Engineering & System Safety, 2024 - Elsevier
Remaining useful life (RUL) prediction is significant for the healthy operation of machinery.
In order to accurately identify the bearing degeneration states, it is necessary to collect …
In order to accurately identify the bearing degeneration states, it is necessary to collect …
Intelligent diagnostics of radial internal clearance in ball bearings with machine learning methods
This article classifies the dynamic response of rolling bearings in terms of radial internal
clearance values. The value of the radial internal clearance in rolling-element bearings …
clearance values. The value of the radial internal clearance in rolling-element bearings …
Data-model-linked remaining useful life prediction method with small sample data: A case of subsea valve
Remaining useful life (RUL) prediction is essential for strategic maintenance planning and
enhancing overall operational efficiency. To address the challenges posed by limited data …
enhancing overall operational efficiency. To address the challenges posed by limited data …
A new unsupervised health index estimation method for bearings early fault detection based on Gaussian mixture model
Bearings are indispensable components of machinery, playing a critical role in effective
health monitoring. This monitoring is vital in detecting equipment incipient failure and …
health monitoring. This monitoring is vital in detecting equipment incipient failure and …
Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings
J Wu, D He, J Li, J Miao, X Li, H Li, S Shan - Reliability Engineering & …, 2024 - Elsevier
Accurate remaining useful life (RUL) prediction of rolling bearings plays a vital role in
ensuring the safe operation of mechanical equipment. Graph-based models have become …
ensuring the safe operation of mechanical equipment. Graph-based models have become …
Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines
Predicting the remaining useful life (RUL) of aero-engines is essential for their prognostics
and health management (PHM). Deep learning technologies are effective in this area, but …
and health management (PHM). Deep learning technologies are effective in this area, but …
Sparse graph structure fusion convolutional network for machinery remaining useful life prediction
L Cui, Q Shen, Y Xiao, D Liu, H Wang - Reliability Engineering & System …, 2025 - Elsevier
Effective prediction of machinery remaining useful life (RUL) is prominent to achieve
intelligent preventive maintenance in manufacturing systems. In this paper, a sparse graph …
intelligent preventive maintenance in manufacturing systems. In this paper, a sparse graph …
A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions
X Ren, Y Qin, B Li, B Wang, X Yi, L Jia - Reliability Engineering & System …, 2024 - Elsevier
Recently, continual learning has received particular attention in machinery remaining useful
life (RUL) prediction, which enables prognostics networks to gradually improve performance …
life (RUL) prediction, which enables prognostics networks to gradually improve performance …
Remaining useful life prediction of rolling bearing via composite multiscale permutation entropy and Elman neural network
Y Sun, Z Wang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Accurate prediction of remaining useful life (RUL) is very important for the maintenance of
mechanical equipment. With the latest development in sensor technology and artificial …
mechanical equipment. With the latest development in sensor technology and artificial …