HROlive / Applications-of-AI-for-Predictive-MaintenanceLinks
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.
☆74Updated 7 months ago
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
Sorting:
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆67Updated 2 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆135Updated 4 years ago
- Datasets for Predictive Maintenance☆126Updated 3 months ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆49Updated 3 years ago
- Exploratory Data Analysis of the popular dataset N-CMAPSS (source: https://data.nasa.gov/Aerospace/CMAPSS-Jet-Engine-Simulated-Data/ff5v-…☆13Updated last year
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆16Updated last year
- Deep Learning applied to predictive maintenance use cases☆37Updated 5 years ago
- The project is a machine predictive maintenance application that uses machine learning (Random Forest) to classify whether a machine wil…☆20Updated 2 years ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆148Updated 3 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆136Updated 4 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆21Updated 2 years ago
- Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualizati…☆25Updated 3 years ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆29Updated last year
- ☆19Updated 4 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆19Updated 4 years ago
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆73Updated 4 years ago
- Predictive Maintenance System for Digital Factory Automation☆44Updated 6 years ago
- time-series prediction for predictive maintenance☆51Updated 6 years ago
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆124Updated 7 years ago
- A curated list of datasets, publically available for machine learning research in the area of manufacturing☆173Updated 3 years ago
- This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Sup…☆26Updated 3 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆26Updated 3 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆196Updated 7 months ago
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆31Updated last year
- Papers and datasets for Vibration Analysis☆180Updated 6 months ago
- Wind turbine fault detection using one class SVM☆15Updated 3 years ago
- Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.☆23Updated 10 months ago
- A notebook tutorial series for performing predictive maintenance using machine learning☆151Updated 5 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.☆83Updated 2 years ago
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆82Updated 4 years ago