collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
☆149Jan 24, 2021Updated 5 years ago
Alternatives and similar repositories for exploring-nasas-turbofan-dataset
Users that are interested in exploring-nasas-turbofan-dataset are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆141Nov 6, 2020Updated 5 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆218Jan 5, 2025Updated last year
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆306Oct 26, 2021Updated 4 years ago
- RUL Nasa Turbofan Dataset (paper)☆26May 14, 2020Updated 6 years ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆160Aug 3, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆121Apr 11, 2023Updated 3 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆117Apr 13, 2023Updated 3 years ago
- The code of DAST☆63Nov 3, 2022Updated 3 years ago
- given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a ne…☆68Aug 28, 2019Updated 6 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆37Feb 14, 2020Updated 6 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆93Nov 11, 2018Updated 7 years ago
- Evolutionary Neural Architecture Search on Transformers for RUL Prediction☆52Apr 18, 2023Updated 3 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆249Oct 2, 2020Updated 5 years ago
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆30Dec 5, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.☆15Aug 28, 2020Updated 5 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆68Feb 18, 2023Updated 3 years ago
- Explore, compare and develop autoencoder models with a back-end agnostic framework☆24Oct 10, 2025Updated 8 months ago
- ☆109Jan 26, 2024Updated 2 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆87Dec 7, 2018Updated 7 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆63May 23, 2024Updated 2 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆29Nov 16, 2021Updated 4 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆44Apr 15, 2023Updated 3 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆154Jan 6, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.☆39Jan 23, 2019Updated 7 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆16Jan 13, 2022Updated 4 years ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆33May 23, 2024Updated 2 years ago
- Datasets for Predictive Maintenance☆163May 8, 2025Updated last year
- Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.☆730Feb 12, 2024Updated 2 years ago
- ☆23Jan 21, 2021Updated 5 years ago
- ☆15Aug 10, 2021Updated 4 years ago
- time-series prediction for predictive maintenance☆56Feb 19, 2019Updated 7 years ago
- This is a Machine Learning Practice Case of Predictive Maintenance by Python with NASA's Turbofan Engine Degradation Simulation Data Set.☆12Jan 13, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural n…☆35Oct 16, 2021Updated 4 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆73Sep 29, 2022Updated 3 years ago
- Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries☆500May 30, 2024Updated 2 years ago
- Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction☆488Mar 24, 2021Updated 5 years ago
- Predicting the Remaining Useful Life of Turbofan Engine☆23Jul 31, 2022Updated 3 years ago
- Particle filter-based Gaussian process optimisation for parameter inference☆11Nov 29, 2017Updated 8 years ago
- Code and supplementary material for ICPHM2020☆27Jun 24, 2020Updated 6 years ago