Machine Learning with ExoSense® Powered by Boon Logic

Traditional condition monitoring provides visualization into a facility's immediate operations, allowing technicians to react quickly once equipment goes awry. However, they have to wait for equipment to fail, which leads to unplanned downtime and increased equipment cost.

Using Exosite's ExoSense Condition Monitoring solution and add-on Insight module for Boon Logic's Amber™️ analytics technology brings operations into the 21st century with the proactive approach of machine learning. Amber analyzes machine data in real-time and gathers historical data to create trained models around standard operations that can identify anomalous behavior. Instead of waiting for equipment to fail, Amber can predict equipment failure long before it happens.

Key ExoSense Machine Learning Features

Machine learning capabilities via Amber analytics technology that can be used to enable predictive maintenance and proactive response, including:
- Automatic anomaly detection
- Automatic model training
- Automatic parameter tuning
- Individual asset-level models for maximum detection accuracy
Customizable drag-and-drop dashboards for real-time asset monitoring.

Hardware-agnostic connections to prevent vendor lock-in and provide the flexibility to select the best sensors for every project.

Want to learn more? Click HERE for our article on Machine Learning for Asset-Intensive Industries.

Installation

The Boon Logic integration can easily be added to an ExoSense account by selecting the Amber Analytics Insight within Exosite's Exchange IoT Marketplace.

Need Help?

Exosite can provide suggestions for sensors and integration information for the Amber Analytics Insight. Depending on your application needs, Exosite also offers application engineering and support packages.