awslabs/predictive-maintenance-using-machine-learning
predictive-maintenance-using-machine-learning
Set up end-to-end demo architecture for predictive maintenance issues with Machine Learning using Amazon SageMaker
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awslabs
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Created
Jun 20, 2019
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README Summary
Companies need to monitor their industrial assets to ensure sustained performance and the typical manual routine checkups are time-consuming and reactive. However, with the advent of cheap sensors, companies can get metrics from industrial assets at regular intervals and with this trove of data, companies can use machine learning models to predict when assets might fail.
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Anomaly DetectionAWS SageMaker MLOpsData Pipeline ArchitectureFeature Engineering for IoT DataPredictive AnalyticsSensor Data AnalysisSupervised LearningTime Series Forecasting
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Anomaly DetectionAWS SageMaker MLOpsData Pipeline ArchitectureFeature Engineering for IoT DataPredictive AnalyticsSensor Data AnalysisSupervised LearningTime Series ForecastingAWSData ScienceDeep LearningForkedJupyterMachine LearningPythonSageMakerSimulationTutorial
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Updated 2 years ago
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prototype- Quality
- medium
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Categories
Cloud & PlatformsPrimaryLearning ResourcesIndustry: GamingData Science & AnalyticsRoboticsOther AI / ML
PM Skills
Data & Evaluation
Languages
Python100.0%
Timeline
- Project created
- Jun 20, 2019
- Forked
- Mar 23, 2026
- Your last push
- 2 years ago
- Upstream last push
- 2 years ago
- Tracked since
- May 3, 2024
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