2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry
Mengjie Gan, Penglong Lian, Zhiheng Su +5
Industrial equipment fault diagnosis often encounter challenges such as the scarcity of fault data, complex operating conditions, and varied types of failures. Signal analysis, dat…
cs.LG2021
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis
Chun Yang
Considering the models that apply the contextual information of time-series data could improve the fault diagnosis performance, some neural network structures such as RNN, LSTM, an…
cs.LG2021★ 2 cited
Deep Metric Learning Model for Imbalanced Fault Diagnosis
Xingtai Gui, Jiyang Zhang
Intelligent diagnosis method based on data-driven and deep learning is an attractive and meaningful field in recent years. However, in practical application scenarios, the imbalanc…