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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…