wjx-mel

wjx-mel's Stars

• Littleor/MLDSO

  Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published in MST

  Language:Python263

• SNBQT/Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning

  This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

  Language:Jupyter Notebook29545

• Xiaohan-Chen/few-shot-fault-diagnosis

  A few shot learning repository for bearing fault diagnosis.

  Language:Python606

• mahdiemad/Static-Eccentricity-Fault-Location-Diagnosis-in-Resolvers-Using-Siamese-Based-Few-Shot-Learning

  the corresponding repository of Static Eccentricity Fault Location Diagnosis in Resolvers Using Siamese-Based Few-Shot Learning

  Language:Jupyter Notebook31

• liguge/MIXCNN_pytorch

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

  Language:Python225

• OneBugMaker/AET

  Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings

  Language:Jupyter Notebook221

• hxf1228/hfn-current-fd

  code for MST paper "Three-dimensional hybrid fusion networks for current-based bearing fault diagnosis"

  Language:Python7

• crocodilegogogo/AWD-Net-Under-Review

  The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environment'

  Language:Python17

• wongsihan/FDR

  Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"

  Language:Python12

• Tan-Qiyu/GNN_FD

  基于图神经网络的机械故障诊断

  Language:Python7813

• ChenQian0618/TFN

  this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Fault Diagnosis".

  Language:Python9414

• MohammadKhajuee/Static-Eccentricity-Fault-Location-Diagnosis-in-Resolvers-Using-Siamese-Based-Few-Shot-Learning

  Language:Jupyter Notebook1

• ShaneSpace/DGFDBenchmark

  This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis

  Language:Python588

• Ouyang-Dong/HGCLAMIR

  HGCLAMIR model mainly includes hypergraph convolutional network (HGCN), hypergraph contrastive learning, view-aware attention mechanism, integrated representation learning and neural projection.

  Language:Python52

• mmg63/Hypergraph-Convolution-and-Attention-networks

  Hypergraph convolution and attention networks research

  Language:Python121

• midas-research/sthgcn-icdm

  Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting

  Language:Python393

• HazeDT/DAGCN

  This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

  Language:Python13033

• AnguoCYF/SSGC

  SSGC: Synergistic Similarity Graph Construction for Steel Plate Fault Diagnosis with Graph Attention Networks

  Language:Python18

• NotEnded99/Fault-Diagnosis-of-Wheeled-Robot

  Fault Diagnosis of Wheeled Robot Based on Prior Knowledge and Spatial-temporal difference graph convolutional network

  Language:Python334

• danfenghong/IEEE_TGRS_GCN

  Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.

  Language:Python24268

• dwave-examples/circuit-fault-diagnosis

  Find possible failing components on a circuit.

  Language:Python2729

• upb-lea/transistordatabase

  A unified software engineering tool for managing and evaluating power transistors

  Language:Python4810

• ddz16/TSFpaper

  This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

  2k183

• foryichuanqi/RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN

  The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Interpretability of deep learning are explored.

  Language:Python492

• HazeDT/PHMGNNBenchmark

  this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

  Language:Python21647

• ddrrrr/projectRUL2

  Language:Python6218

• mkang315/RCS-YOLO

  [MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".

  Language:Python7510

• XiangchenYin/PE-YOLO

  Language:Python8810

• 657568246/data-augmentation

  Dataset and label preprocessing for tools

  Language:Python10

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.2k4.8k