The transient concept of bearings: a novel strategy for RUL prediction
X Zhang, CX Guo, RF Yang, K Li - Measurement Science and …, 2023 - iopscience.iop.org
Bearings serve as integral components in mechanical devices, providing stability during
mechanical transmission and reducing friction coefficients. Hence, the precise prediction of …
mechanical transmission and reducing friction coefficients. Hence, the precise prediction of …
Graph Spatio-Temporal Networks for Condition Monitoring of Wind Turbine
Condition monitoring of wind turbines (WTs) is essential for advancing wind energy. Existing
data-driven methods heavily rely on deep learning and Big Data, leading to challenges in …
data-driven methods heavily rely on deep learning and Big Data, leading to challenges in …
[HTML][HTML] Robust prediction of remaining useful lifetime of bearings using deep learning
Predicting the remaining useful lifetime (RUL) of bearings in electric motors is crucial to
reduce repair costs in industrial maintenance. With the technological advances of Industry …
reduce repair costs in industrial maintenance. With the technological advances of Industry …
Spatio-Temporal Propagation: An Extended Message Passing Graph Neural Network for Remaining Useful Life Prediction
The deep learning (DL) based method for predicting remaining useful life (RUL) has gained
lots of attention in the industrial equipment sector. Due to the complexity of modern industrial …
lots of attention in the industrial equipment sector. Due to the complexity of modern industrial …
Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors
Data-driven prognostics of systems exploit sensor measurements to predict the degradation
evolution and anticipate failures, corresponding to the estimation of the remaining useful life …
evolution and anticipate failures, corresponding to the estimation of the remaining useful life …