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.
☆24Updated 10 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:
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆30Updated last year
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated 2 years ago
- case study for remaining useful life estimation☆34Updated last year
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆33Updated 2 years ago
- 基于深度学习的机械故障诊断☆38Updated last year
- ☆33Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆44Updated 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.☆26Updated 9 months ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆37Updated 2 years ago
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆18Updated 2 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆36Updated 3 weeks ago
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆19Updated 4 years ago
- Remaining useful life prediction by Transformer-based Model☆53Updated 3 years ago
- ☆23Updated 4 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆49Updated 10 months ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆12Updated 2 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 3 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆62Updated 10 months ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆82Updated 2 years ago
- Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.☆11Updated 3 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆61Updated 2 years ago
- This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…☆21Updated 9 months ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆37Updated 2 years ago
- ☆36Updated 3 years ago
- Leveraging multiple deep learning models for fault diagnosis☆49Updated last week
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆23Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆31Updated 2 years ago
- ☆65Updated 5 years ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated last year