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ampcnn

A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism

designworktask

mixcnn

A fault diagnosis method for rotating machinery based on CNN with mixed information

pstr

A few-shot fine-grained fault diagnosis framework based on pseudo-supervised task representation

random-convolution-layer

segmvae

simclr_fault-feature-representation

simple-cnaps

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (TPAMI 2022 - in submission)

vae_1d_fft_based-fault-diagnosis