A collection of unsupervised domain adaption algorithms for RUL estimation.
☆40Apr 22, 2024Updated last year
Alternatives and similar repositories for rul-adapt
Users that are interested in rul-adapt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆37Oct 9, 2023Updated 2 years ago
- Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)☆20Jul 26, 2023Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆56Aug 19, 2022Updated 3 years ago
- A collection of datasets for RUL estimation as Lightning Data Modules.☆53May 23, 2024Updated last year
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆87Jun 19, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆38Dec 2, 2025Updated 3 months ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆20Feb 12, 2023Updated 3 years ago
- Code and supplementary material for ICPHM2020☆27Jun 24, 2020Updated 5 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆13May 12, 2023Updated 2 years ago
- unofficial reproduction of: a transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆21Aug 23, 2023Updated 2 years ago
- The implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆28Mar 4, 2025Updated last year
- ☆106Jan 26, 2024Updated 2 years ago
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆13Feb 9, 2025Updated last year
- ☆12Jan 13, 2022Updated 4 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆118Apr 11, 2023Updated 2 years ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆52Jan 13, 2022Updated 4 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆34May 6, 2019Updated 6 years ago
- ☆17Apr 10, 2021Updated 4 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆54Nov 10, 2021Updated 4 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆217Jan 5, 2025Updated last year
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆202Apr 6, 2024Updated last year
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆133Nov 6, 2020Updated 5 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆313Jan 17, 2021Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.☆49May 17, 2024Updated last year
- CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds☆29Jun 19, 2024Updated last year
- Code for: RULSurv: A probabilistic survival-based method for early censoring-aware prediction of remaining useful life in ball bearings (…☆21Jan 16, 2026Updated 2 months ago
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆29Feb 5, 2024Updated 2 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆63Feb 18, 2023Updated 3 years ago
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆29Dec 5, 2023Updated 2 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆295Oct 26, 2021Updated 4 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆33Oct 10, 2023Updated 2 years ago
- multi-source domain graph convolution networks (Fault and Abnormal Vibration Diagnosis)☆12Mar 29, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- This project uses Transformer-based RNN model to predict the remaining useful life (RUL) of turbo fan jet engines using NASA's C-MAPSS si…☆14Nov 17, 2023Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆20Mar 11, 2022Updated 4 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆108Apr 13, 2023Updated 2 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆85Apr 2, 2023Updated 2 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆28Nov 16, 2021Updated 4 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Jan 7, 2023Updated 3 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆101Aug 13, 2019Updated 6 years ago