Bi-LSTM-based two-stream network for machine remaining useful life prediction

R Jin, Z Chen, K Wu, M Wu, X Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In industry, prognostics and health management (PHM) is used to improve the system
reliability and efficiency. In PHM, remaining useful life (RUL) prediction plays a key role in …

Rolling Bearing Remaining Useful Life Prediction Based on CNN-VAE-MBiLSTM

L Yang, Y Jiang, K Zeng, T Peng - Sensors, 2024 - mdpi.com
Ensuring precise prediction of the remaining useful life (RUL) for bearings in rolling
machinery is crucial for preventing sudden machine failures and optimizing equipment …

Skeleton-based human activity recognition with wifi CSI using a hybrid approach combining convolutional neural network and long short term memory

J Chen, Z Wei, Y Tong, H Jiang, X Miao, C Yin - Multimedia Systems, 2024 - Springer
Pose estimation based on visual images is evolving, but it is also limited by environmental
factors such as occlusion and darkness. Due to its non-intrusive and ubiquitous characters …