Summary
Canopy is an advanced machine learning tool that remotely deploys without any hardware installation. It allows you to investigate developing issues to the sensor level and empowers you to find out exactly what is abnormal in your machines. Canopy’s AI learns your machines’ behavior from historical SCADA data and understands what normal is given the exact conditions and operation modes that the machine is exposed to.
Main Benefits
- Fully unsupervised learning without requiring annotated failures
- Contextual alarms that are dynamic and meaningful
- Advanced visualizations and tools show the machine state in different ways
- Can detect abnormalities in any operation condition
Possible Use Cases
- Improving productivity of existing asset base
- Early detection of potential equipment failures
- Reducing downtime and maintenance costs
- Enhancing operational efficiency
AI Edge
Canopy leverages the power of AI by learning from historical SCADA data. It doesn’t require annotated failures, allowing it to learn what normal behavior is and extrapolate what abnormal is. The AI can detect abnormalities in any operation condition, making it a powerful tool for early detection of potential equipment failures. Canopy’s dynamic and contextual alarms ensure that only meaningful alarms are triggered, reducing unnecessary downtime and maintenance costs.
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