Azure / AI-PredictiveMaintenance
☆142Updated last year
Alternatives and similar repositories for AI-PredictiveMaintenance:
Users that are interested in AI-PredictiveMaintenance are comparing it to the libraries listed below
- MachineLearningSamples-DeepLearningforPredictiveMaintenance☆75Updated 5 years ago
- MachineLearningSamples-PredictiveMaitenance☆67Updated 5 years ago
- Predictive Maintenance using Pyspark☆125Updated 5 years ago
- LSTMS for Predictive Maintenance☆331Updated 7 years ago
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆122Updated 6 years ago
- Predict the remaining useful life of aircraft components in order to reduce component repair costs, improve component stock availability,…☆28Updated 6 years ago
- A notebook tutorial series for performing predictive maintenance using machine learning☆143Updated 4 years ago
- Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)☆265Updated 9 months ago
- Batch scoring Spark models on Azure Databricks: A predictive maintenance use case☆50Updated 5 years ago
- Student Materials for MTC Azure ML Workshop☆31Updated 7 years ago
- Curated list of predictive maintenance research and repositories.☆17Updated 5 years ago
- Demonstration of MapR for Industrial IoT☆112Updated 2 years ago
- time-series prediction for predictive maintenance☆50Updated 6 years ago
- Predictive Maintenance System for Digital Factory Automation☆43Updated 5 years ago
- Predict remaining useful life of a component based on historical sensor observations using automated feature engineering☆232Updated last year
- This model comprises of Manufacturing units dataset , sources are telemetry , machine failure , error logs , maintenance and machines con…☆29Updated 11 months ago
- Samples for the Anomaly Detection API documentation:☆103Updated 11 months ago
- demo of a predictive maintenance strategy on mock data for upstream oil & gas☆13Updated 5 years ago
- ☆11Updated 2 years ago
- Azure IoT Predictive Maintenance preconfigured solution☆86Updated 4 years ago
- Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like …☆110Updated last year
- ☆196Updated 2 years ago
- Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.☆22Updated 5 months ago
- MachineLearningSamples-EnergyDemandTimeSeriesForecasting☆43Updated 5 years ago
- Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets☆29Updated 7 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆123Updated 3 years ago
- Managing Data and Model Drift with Azure Machine Learning☆43Updated 2 years ago
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆47Updated 4 years ago
- Aircraft engine failure prediction model☆28Updated last year
- ☆68Updated 2 years ago