HROlive / Applications-of-AI-for-Predictive-Maintenance
Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.
☆39Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for Applications-of-AI-for-Predictive-Maintenance
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆39Updated 2 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
- Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualizati…☆21Updated 2 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
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆27Updated 5 months ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆118Updated 3 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 3 years ago
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆28Updated 11 months ago
- Datasets for Predictive Maintenance☆100Updated 11 months ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆26Updated 2 years ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆11Updated 6 months ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆21Updated last year
- This is a sample code repository of the power transformer's health state (index) analysis or prediction by the regression model for exper…☆21Updated 2 years ago
- ☆17Updated 3 years ago
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆62Updated 5 months ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆124Updated 3 years ago
- Deep Learning applied to predictive maintenance use cases☆33Updated 4 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated last year
- Wind turbine fault detection using one class SVM☆11Updated 2 years ago
- This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Sup…☆22Updated 2 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆165Updated last year
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆74Updated last year
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆137Updated last year
- Predictive Maintenance System for Digital Factory Automation☆42Updated 5 years ago
- This repository contains code for analyzing the TEP dataset, which is a public dataset for evaluating fault detection and diagnosis algor…☆23Updated last year
- time-series prediction for predictive maintenance☆49Updated 5 years ago
- Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is…☆12Updated 3 years ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆134Updated 2 years ago
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆88Updated last year
- MuhammadEsmat / Predictive-Maintenance-Machine-Remaining-Useful-Life-Estimation-using-Deep-Learning-TechniqueDeep Learning algorithm Long-Short-Term-Memory (LSTM) with Feedforward Neural Network (FNN) to predict machine Remaining Useful Life (RUL…☆4Updated 3 years ago