archd3sai / Predictive-Maintenance-of-Aircraft-Engine
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
☆133Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Predictive-Maintenance-of-Aircraft-Engine
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆125Updated 3 years ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆27Updated 6 months ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆167Updated last year
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆118Updated 3 years ago
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆120Updated 6 years ago
- Anomaly detection and failure prognosis applied to industrial machines☆26Updated 5 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆52Updated 2 years ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆40Updated 2 years ago
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆74Updated 3 years ago
- A notebook tutorial series for performing predictive maintenance using machine learning☆144Updated 4 years ago
- time-series prediction for predictive maintenance☆49Updated 5 years ago
- Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)☆254Updated 5 months ago
- Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.☆37Updated 5 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆20Updated 3 years ago
- Predictive Maintenance System for Digital Factory Automation☆42Updated 5 years ago
- Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm☆68Updated 2 years ago
- Datasets for Predictive Maintenance☆103Updated 11 months ago
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆28Updated 11 months 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…☆60Updated 5 years ago
- Predict remaining useful life of a component based on historical sensor observations using automated feature engineering☆229Updated last year
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆123Updated 2 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆138Updated last year
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆88Updated last year
- ☆48Updated 2 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆46Updated 2 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆233Updated 4 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Updated 3 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆106Updated 4 years ago
- This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean…☆21Updated 5 years ago