N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
☆112Apr 13, 2023Updated 3 years ago
Alternatives and similar repositories for N-CMAPSS_DL
Users that are interested in N-CMAPSS_DL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆43Apr 15, 2023Updated 3 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆298Oct 26, 2021Updated 4 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆218Jan 5, 2025Updated last year
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆22Sep 26, 2022Updated 3 years ago
- Multi-Objective Optimization of ELM for RUL Prediction☆15Jun 1, 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. Zero configuration with optimized deployments.
- Remaining useful life prediction for N-CMAPSS dataset☆20Mar 11, 2022Updated 4 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆64Feb 18, 2023Updated 3 years ago
- A collection of datasets for RUL estimation as Lightning Data Modules.☆60Mar 26, 2026Updated 3 weeks ago
- ☆108Jan 26, 2024Updated 2 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆135Nov 6, 2020Updated 5 years ago
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆29Dec 5, 2023Updated 2 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆29Nov 16, 2021Updated 4 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆118Apr 11, 2023Updated 3 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆178Jul 5, 2021Updated 4 years ago
- AI Agents on 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.
- Evolutionary Neural Architecture Search on Transformers for RUL Prediction☆51Apr 18, 2023Updated 2 years ago
- The code of DAST☆63Nov 3, 2022Updated 3 years ago
- Use GRU,LSTM,CNN to predict the RUL in C-MAPSS dataset☆32Dec 5, 2023Updated 2 years ago
- Application of Transfer Learning for RUL Prediction☆31Apr 12, 2021Updated 5 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆49Apr 14, 2025Updated last year
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆40Apr 22, 2024Updated last year
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆28Apr 13, 2023Updated 3 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆33Oct 10, 2023Updated 2 years ago
- 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
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆143Jan 24, 2021Updated 5 years ago
- Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is…☆10Apr 18, 2021Updated 4 years ago
- Code and supplementary material for ICPHM2020☆27Jun 24, 2020Updated 5 years ago
- Benmarking for GNN-based RUL prediction☆51Oct 2, 2024Updated last year
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆90Jun 19, 2023Updated 2 years ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆20Feb 12, 2023Updated 3 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆174Mar 17, 2023Updated 3 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆16Jan 13, 2022Updated 4 years ago
- Novel algorithms to predict Remaining Useful Life (RUL) on NASA’s benchmark dataset, CMAPSS turbofan engine degradation simulation.☆13Nov 8, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- to prediction the remain useful life of bearing based on 2012 PHM data☆319Jan 17, 2021Updated 5 years ago
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆102Jul 5, 2021Updated 4 years ago
- a rul prediction transfomer model☆11Jun 21, 2023Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆208Apr 6, 2024Updated 2 years ago
- The implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆29Mar 4, 2025Updated last year
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆62May 23, 2024Updated last year
- 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