Amazon Lookout for Equipment
Amazon Lookout for Equipment uses machine learning to analyze sensor data from your industrial equipment and detect abnormal patterns that signal potential failures. It helps you avoid unplanned equipment downtime by identifying potential equipment failures before they occur.
APIs
Amazon Lookout for Equipment API
The Amazon Lookout for Equipment API provides programmatic access to create and manage datasets, models, inference schedulers, and labels for predictive maintenance of industria...
Capabilities
Amazon Lookout for Equipment Workflow
Unified workflow capability for Amazon Lookout for Equipment combining resource management and operations.
Run with NaftikoFeatures
Detect abnormal equipment behavior using ML models trained on equipment sensor data.
Predict equipment failures before they occur to reduce unplanned downtime.
Automatically build ML models from historical sensor data without data science expertise.
Analyze data from hundreds of sensors simultaneously to detect complex failure patterns.
Run continuous inference on streaming sensor data for real-time failure detection.
Use Cases
Detect early warning signs of equipment failures in manufacturing machinery.
Monitor industrial equipment in power plants, wind turbines, and oil refineries.
Track the health of heavy mining equipment to prevent costly breakdowns.
Detect anomalies in HVAC systems to prevent equipment failures in buildings.
Integrations
Store and access equipment sensor data in S3 for model training and inference.
Collect and organize equipment sensor data with IoT SiteWise and analyze with Lookout.
Stream real-time sensor data from equipment to Lookout for Equipment.
Connect industrial equipment to AWS via IoT Core for data ingestion.