ashishpatel26 / Predictive_Maintenance_using_Machine-Learning_Microsoft_CasestudyLinks
Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
☆128Updated 7 years ago
Alternatives and similar repositories for Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
Users that are interested in Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy are comparing it to the libraries listed below
Sorting:
- Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)☆284Updated last year
- time-series prediction for predictive maintenance☆56Updated 6 years ago
- A notebook tutorial series for performing predictive maintenance using machine learning☆155Updated 5 years ago
- Anomaly detection and failure prognosis applied to industrial machines☆28Updated 6 years ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆154Updated 3 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆142Updated 4 years ago
- Predictive Maintenance System for Digital Factory Automation☆44Updated 6 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆69Updated 3 years ago
- LSTMS for Predictive Maintenance☆340Updated 8 years ago
- Predict remaining useful life of a component based on historical sensor observations using automated feature engineering☆235Updated 2 years ago
- Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.☆24Updated last year
- Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like …☆114Updated 3 months ago
- ☆15Updated 4 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆139Updated 4 years ago
- ☆69Updated 3 years ago
- Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets☆29Updated 8 years ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆31Updated last year
- Deep Learning applied to predictive maintenance use cases☆40Updated 5 years ago
- Datasets for Predictive Maintenance☆150Updated 8 months ago
- ☆46Updated 3 years ago
- Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help …☆16Updated 4 years ago
- Demonstration of MapR for Industrial IoT☆116Updated 3 years ago
- This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean…☆21Updated 6 years ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆55Updated 3 years ago
- ☆156Updated 2 years ago
- Predictive Maintenance using Pyspark☆130Updated 6 years ago
- This model comprises of Manufacturing units dataset , sources are telemetry , machine failure , error logs , maintenance and machines con…☆34Updated last year
- Curated list of predictive maintenance research and repositories.☆19Updated 6 years ago
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆74Updated 4 years ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆227Updated 5 years ago