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.
☆22Updated 8 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:
- case study for remaining useful life estimation☆34Updated last year
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆31Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- 基于深度学习的机械故障诊断☆36Updated last year
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆18Updated last month
- ☆33Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆44Updated 2 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated 2 years ago
- A Unified Framework for Prognostics and Health Management (PHM) Tasks, enabling streamlined execution of key tasks such as Remaining Usef…☆41Updated 2 weeks ago
- ☆23Updated 4 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 years ago
- 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.☆25Updated 8 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆39Updated 2 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆59Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆53Updated 3 years ago
- 机械故障诊断公开数据集☆68Updated last year
- ☆64Updated 4 years ago
- An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It c…☆15Updated last year
- ☆36Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆92Updated 6 months ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆41Updated 7 months ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆21Updated 11 months ago
- ☆112Updated 3 years ago
- ☆34Updated 3 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆46Updated 8 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆40Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- ☆24Updated 2 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆34Updated 8 months ago