In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
☆157Aug 3, 2022Updated 3 years ago
Alternatives and similar repositories for Predictive-Maintenance-of-Aircraft-Engine
Users that are interested in Predictive-Maintenance-of-Aircraft-Engine are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆132Apr 5, 2018Updated 7 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆143Jan 24, 2021Updated 5 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆217Jan 5, 2025Updated last year
- In this project, I have employed various regression techniques to estimate the Power curve of an on-shore Wind turbine. Nonlinear trees b…☆19Jun 20, 2019Updated 6 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆143Jul 11, 2021Updated 4 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.
- Datasets for Predictive Maintenance☆158May 8, 2025Updated 10 months ago
- time-series prediction for predictive maintenance☆56Feb 19, 2019Updated 7 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆72Sep 29, 2022Updated 3 years ago
- A regression based approach to estimate the Remaining Useful Life (RUL) of a paper mill for a web break prediction problem.☆13May 5, 2022Updated 3 years ago
- Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualizati…☆28May 2, 2022Updated 3 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆29Nov 16, 2021Updated 4 years ago
- Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)☆288May 25, 2024Updated last year
- LSTM Neural Network to predict NASA's engines failure based on know failures and parameters.☆25Mar 4, 2018Updated 8 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆296Oct 26, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Predict remaining useful life of a component based on historical sensor observations using automated feature engineering☆234Jul 28, 2023Updated 2 years ago
- Anomaly detection and failure prognosis applied to industrial machines☆28Jun 6, 2019Updated 6 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
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆85Dec 7, 2018Updated 7 years ago
- Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction☆481Mar 24, 2021Updated 5 years ago
- ☆46Jan 3, 2023Updated 3 years ago
- Convolutional Neural Network based regression approach for estimating machinery's remaining useful life☆139Aug 11, 2019Updated 6 years ago
- Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining life…☆85May 9, 2023Updated 2 years ago
- A framework to implement Machine Learning methods for time series data.☆18Mar 24, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Set up end-to-end demo architecture for predictive maintenance issues with Machine Learning using Amazon SageMaker☆107May 3, 2024Updated last year
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆134Nov 6, 2020Updated 5 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
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆151Jan 6, 2022Updated 4 years ago
- MachineLearningSamples-PredictiveMaitenance☆71Jun 28, 2019Updated 6 years ago
- Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets☆29Nov 21, 2017Updated 8 years ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆25Apr 25, 2024Updated last year
- ☆66Nov 30, 2020Updated 5 years ago
- 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
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- LSTMS for Predictive Maintenance☆340Jul 31, 2017Updated 8 years ago
- This workshop will familiarize you with some of the key steps towards building an end-to-end predictive maintenance system leveraging Ama…☆27Jun 4, 2020Updated 5 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆21Jun 10, 2021Updated 4 years ago
- A project focused on the improvement for remaining useful life estimation.☆22Jul 7, 2017Updated 8 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
- ☆15Aug 10, 2021Updated 4 years ago
- A neural network approach for predicting imminent failures in a smart power grid☆16Apr 4, 2022Updated 3 years ago