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ampcnn

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

awsome-multi-modal-based-phm

Awsome-Multi-modal-based PHM （基于多模态的故障诊断和预测，持续更新）

bearing-fault-diagnosis

dagcn

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

dg-phm

This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测，持续更新)

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

dlwcb

基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)

fast_sasd

Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"

fault-diagnosis-for-small-samples-based-on-attention-mechanism

基于注意力机制的少量样本故障诊断 pytorch

few-shot-via-ensembling-transformer-with-mahalanobis-distance

This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric Learning from Multiscale Features". IEEE Transactions on Instrumentation and Measurement (Accepted)

fwa-dbn-elm-for-intelligent-fault-diagnosis

FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断

gnn_fd

基于图神经网络的机械故障诊断

graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

hyperspectral-image-classification-models

收录及复现的高光谱遥感图像分类模型

metafd

The source codes of Meta-learning for few-shot cross-domain fault diagnosis.

mixcnn

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

mixcnn_pytorch

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

msrp-ifcn-pr2022

Multi-scale Signed Recurrence Plot Based Time Series Classification Using Inception Architectural Networks

rv_esprit

MATLAB codes for "Frequency Estimation of Vibration Signals: An Subspace Approach for Bearing Fault Diagnosis"

scatteredliquidcomponentanalysisapproach

主要提出了一种从多谱线特征层融合角度提出了基于格拉姆角场（Gramian angular field）与多尺度卷积神经网络（multi-scale convolutional neural network）的光谱特征提取方法，使用格拉姆角场将一维光谱信号变换为二维图像增强了信号特征，使用多尺度卷积神经网络提取图像特征，利用特征向量回归计算金属离子浓度。

simplenet

tfn

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

tfpred

An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis

time-series-library

A Library for Advanced Deep Time Series Models.

tl-bearing-fault-diagnosis

Bearing Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization

transfer-learning-fault-diagnosis-pytorch

A transfer learning fault diagnosis repository covering popular algorithms

weighted_multi-scale_dictionary_learning

Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"

xlstm-for-intelligent-fault-diagnosis-of-rolling-bearings

xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings