Results 151 to 160 of about 10,974,174 (198)
A novel dual-dimensional contrastive self-supervised learning-based framework for rolling bearing remaining useful life prediction. [PDF]
Sci RepShen Z +5 more
europepmc +1 more source
A TCN-Attention fusion model for fault prediction and remaining useful life estimation of large-scale mining equipment. [PDF]
Sci RepMao J, Xu W, Li D, Zhu H, Yang F.
europepmc +1 more source
Remaining useful life prediction method based on gated dilation causal convolution. [PDF]
Sci RepHe J, Sun W, Zhang C.
europepmc +1 more source
Estimation and uncertainty quantification of remaining useful life (RUL) of electric vehicle batteries using a temporal deep model. [PDF]
Sci RepKong Z, Li S, Wang C.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
IEEE Transactions on Industrial Electronics, 2022
Machine remaining useful life (RUL) prediction is vital in improving the reliability of industrial systems and reducing maintenance cost. Recently, long short-term memory (LSTM) based algorithms have achieved state-of-the-art performance for RUL prediction due to their strong capability of modeling sequential sensory data.
Keyu Wu, Xiaoli Li, Zhenghua Chen
exaly +2 more sources
Machine remaining useful life (RUL) prediction is vital in improving the reliability of industrial systems and reducing maintenance cost. Recently, long short-term memory (LSTM) based algorithms have achieved state-of-the-art performance for RUL prediction due to their strong capability of modeling sequential sensory data.
Keyu Wu, Xiaoli Li, Zhenghua Chen
exaly +2 more sources
Multiclass classification for predicting Remaining Useful Life (RUL) of the turbofan engine
2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2021For complex equipment and systems or their subsystems maintaining good health is very important. Several approaches were tried by the researchers applied by the industry professionals to predict the health of equipment, to take corrective measures. In this context, data analysis and machine learning are the latest tools that use historical data of ...
Piyush Soni +3 more
openaire +1 more source
RUL-Mamba: Mamba-Based Remaining Useful Life Prediction for Lithium-Ion Batteries
Journal of Energy StorageJiahui Huang +4 more
exaly +2 more sources