somjit101 / Predictive-Maintenance-Industrial-IOTLinks
Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualization we attempt to performance Failure Analysis and Prediction of crucial industrial equipments like Boilers, Pumps, Motors etc. so that necessary actions can be taken by the management for their repair, servicin…
☆25Updated 3 years ago
Alternatives and similar repositories for Predictive-Maintenance-Industrial-IOT
Users that are interested in Predictive-Maintenance-Industrial-IOT 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.☆69Updated 3 years ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆52Updated 3 years ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆30Updated last year
- Deep Learning applied to predictive maintenance use cases☆37Updated 5 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆138Updated 4 years ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆150Updated 3 years ago
- time-series prediction for predictive maintenance☆51Updated 6 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
- Predictive Maintenance System for Digital Factory Automation☆45Updated 6 years ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆19Updated last year
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆126Updated 7 years ago
- Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the re…☆80Updated 8 months ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆21Updated 2 years ago
- This is a sample code repository of the power transformer's health state (index) analysis or prediction by the regression model for exper…☆24Updated 3 years ago
- Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is…☆11Updated 4 years ago
- ☆15Updated 4 years ago
- Energy consumption prediction using LSTM/GRU networks in PyTorch☆60Updated 2 years ago
- Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.☆23Updated 11 months ago
- Tidy multi-material machine tool wear dataset for prognostics and health monitoring.☆18Updated last year
- Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are …☆65Updated 4 years ago
- Datasets for Predictive Maintenance☆132Updated 5 months 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
- This is a Machine Learning Practice Case of Predictive Maintenance by Python with NASA's Turbofan Engine Degradation Simulation Data Set.☆12Updated 4 years ago
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆81Updated 4 years ago
- Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help …☆16Updated 4 years ago
- Anomaly detection and failure prognosis applied to industrial machines☆29Updated 6 years ago
- Digital twins in machining process by Generative Adversarial Nets☆48Updated 6 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆137Updated 4 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Updated 3 years ago
- In this project, I have employed various regression techniques to estimate the Power curve of an on-shore Wind turbine. Nonlinear trees b…☆18Updated 6 years ago