A Novel Digital Twin-driven Feature Imputation Framework for Non-contact Intelligent Fault Diagnosis

ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification

Domain Adaptation for Time Series Under Feature and Label Shifts

A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis

little improvement based on KalmanNet

Code for paper: Scale-information fused correntropy representation for mechanical fault diagnosis under time-varying conditions

A transfer learning fault diagnosis repository covering popular algorithms

Unofficial Implementation of "Gcan: Graph convolutional adversarial network for unsupervised domain adaptation." for a Deep Learning project (University project)

1D and 2D Finite Element Analysis for predefined objects

2D/3D Finite Element (FEM) beam model using Newmark Method for dynamic analysis

Newmark method for elastodynamics finite element method

MATLAB Programming for Finite Element Methods

Customized FERUM (Finite Element Reliability Using Matlab)

# XFEM_Fracture2D ### Description This is a Matlab program that can be used to solve fracture problems involving arbitrary multiple crack propagations in a 2D linear-elastic solid based on the pri…

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

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

Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can …

The implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.

Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.

An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.（30余个开源故障诊断和预测数据集，不断更新中）

Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"

remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit

GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)

IDSN：一种用于高速列车牵引电机跨机诊断的单级可解释可微 STFT 域自适应网络 fault diagnosis

Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）

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

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

Pytorch Implementation of Deep Kalman Filter