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.
☆60Updated last month
Alternatives and similar repositories for Applications-of-AI-for-Predictive-Maintenance:
Users that are interested in Applications-of-AI-for-Predictive-Maintenance are comparing it to the libraries listed below
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆58Updated 2 years ago
- Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualizati…☆22Updated 2 years ago
- Siddhartha80 / AI-Powered-Predictive-Maintenance-System-for-Vehicles-with-Real-Time-Data-Visualization-and-AnalysisGradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forec…☆17Updated 3 months ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆45Updated 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
- Predictive Maintenance System for Digital Factory Automation☆44Updated 5 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆22Updated last year
- Datasets for Predictive Maintenance☆112Updated last year
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆124Updated 3 years ago
- time-series prediction for predictive maintenance☆51Updated 6 years ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆12Updated 10 months ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆27Updated 9 months ago
- Deep Learning applied to predictive maintenance use cases☆35Updated 4 years ago
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆123Updated 6 years ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆145Updated 2 years ago
- The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various cla…☆16Updated 3 years ago
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆30Updated last year
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆26Updated 3 years ago
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆67Updated 3 years ago
- This repository contains code for analyzing the TEP dataset, which is a public dataset for evaluating fault detection and diagnosis algor…☆27Updated last year
- ☆15Updated 3 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆77Updated last year
- ☆19Updated 3 years ago
- Predictive Maintenance avoids the drawbacks of Preventive Maintenance (under utilization of a part's life) and Reactive Maintenance (unsc…☆12Updated 2 years ago
- A notebook tutorial series for performing predictive maintenance using machine learning☆144Updated 4 years ago
- Papers and datasets for Vibration Analysis☆143Updated last month
- A curated list of datasets, publically available for machine learning research in the area of manufacturing☆154Updated 3 years ago
- Anomaly detection and failure prognosis applied to industrial machines☆27Updated 5 years ago
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆70Updated 9 months ago