Integrated with Treon Connect, it provides high-resolution data for AI-driven analytics, enabling early fault detection and maintenance planning.
Treon has launched the Treon Industrial Node X — an advanced wireless, battery-powered sensor for predictive maintenance. As the latest addition to Treon’s condition monitoring portfolio, it improves efficiency, sustainability, and diagnostics in industrial operations.
Designed to integrate with the Treon Connect platform, it provides high-resolution, wide-spectrum data for AI/ML-based analytics, supporting early fault detection and maintenance planning. It’s ideal for medium- to high-criticality assets with longer maintenance lead times, such as large motors, gearboxes, and compressors.
Key features and enhancements
- Replaceable power module for sustainability – The Node X features a replaceable battery module, reducing waste and improving long-term efficiency. Remaining battery capacity can be monitored to plan replacement cycles effectively.
- Broader equipment coverage – Enhanced vibration monitoring now supports slow-rotating equipment, variable-speed motors, intermittently operating assets, and magnetic field monitoring for electric motors.
- Always-on monitoring – The device automatically wakes to measure real-time incidents, ensuring continuous 24/7 monitoring of critical equipment.
- Extended connectivity – With up to double the range, the sensor offers more flexible deployment across industrial environments.
- ATEX-certified power module – The upcoming ATEX version will support Zone 0 and Class I, Division 1 environments, enabling monitoring in the most hazardous conditions.
With the launch of Treon Industrial Node X for medium- to high-criticality equipment and Treon Industrial Node C for scalable monitoring across all asset types—including low-cost or non-repairable assets—Treon now delivers broad sensor coverage across industrial operations. The portfolio supports maintenance strategies from continuous condition monitoring to advanced performance optimization, using AI-driven analytics to detect faults early and extend asset life.
For more information, visit treon.fi.
