alidi24 / bearing-rul-predictionLinks
Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health indicators. Compares performance between different architectures for predictive maintenance applications.
☆12Updated 3 months ago
Alternatives and similar repositories for bearing-rul-prediction
Users that are interested in bearing-rul-prediction are comparing it to the libraries listed below
Sorting:
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆32Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 9 months ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆27Updated 11 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆31Updated 3 months ago
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆14Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 3 months ago
- Remaining useful life prediction by Transformer-based Model☆51Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 3 months ago
- case study for remaining useful life estimation☆30Updated last year
- This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…☆14Updated 3 months ago
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆23Updated 3 months ago
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 6 months ago
- Leveraging multiple deep learning models for fault diagnosis☆29Updated last month
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆38Updated 2 years ago
- ☆32Updated last year
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 3 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated last year
- 基于深度学习的机械故障诊断☆34Updated last year
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆21Updated last year
- An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions☆12Updated 9 months ago
- ☆23Updated 2 years ago
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆15Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 years ago