Few-shot fault diagnosis of switch machine based on data fusion and balanced regularized prototypical network
The turnout switch machine (TSM) is the critical signal equipment of the interlocking system,
which directly affects the efficiency and safety of rail transit. However, the incomplete feature …
which directly affects the efficiency and safety of rail transit. However, the incomplete feature …
Low-shot learning and class imbalance: a survey
P Billion Polak, JD Prusa, TM Khoshgoftaar - Journal of Big Data, 2024 - Springer
The tasks of few-shot, one-shot, and zero-shot learning—or collectively “low-shot
learning”(LSL)—at first glance are quite similar to the long-standing task of class imbalanced …
learning”(LSL)—at first glance are quite similar to the long-standing task of class imbalanced …
A Lightweight Group Transformer-Based Time Series Reduction Network for Edge Intelligence and Its Application in Industrial RUL Prediction
Recently, deep learning-based models such as transformer have achieved significant
performance for industrial remaining useful life (RUL) prediction due to their strong …
performance for industrial remaining useful life (RUL) prediction due to their strong …
SCCAM: Supervised contrastive convolutional attention mechanism for Ante-Hoc interpretable fault diagnosis with limited fault samples
In real industrial processes, fault diagnosis methods are required to learn from limited fault
samples since the procedures are mainly under normal conditions and the faults rarely …
samples since the procedures are mainly under normal conditions and the faults rarely …
A novel dimensional variational prototypical network for industrial few-shot fault diagnosis with unseen faults
C Peng, L Chen, K Hao, S Chen, X Cai, B Wei - Computers in Industry, 2024 - Elsevier
Abstract A Dimensional Variational Prototypical Network (DVPN) is proposed to learn
transferable knowledge from a largescale dataset containing sufficient samples of diverse …
transferable knowledge from a largescale dataset containing sufficient samples of diverse …
Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network
The safety of train operations hinges on the reliability of the signal system, and the switch
machine stands out as a pivotal component within it. Consequently, fault diagnosis of switch …
machine stands out as a pivotal component within it. Consequently, fault diagnosis of switch …
Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning
X Wan, L Cen, X Chen, Y Xie… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Few-shot new faults are constantly emerging due to the dynamic environments and
operations in the industrial process. It is a challenge for existing fault diagnosis methods to …
operations in the industrial process. It is a challenge for existing fault diagnosis methods to …