To ensure maximum uptime and enable reliable predictive maintenance, a waste recycling plant has adopted advanced condition monitoring technologies for its critical machinery.
A complete online wireless condition monitoring system with triaxial vibration sensors is installed on the bearings of key equipment. These sensors are battery-powered using MAX long-life batteries, offering up to 8 years of operation, and feature magnetic bases for quick and easy installation.
In parallel, current signature analysis (ESA) is performed on the equipment’s electric motors. All sensor data is collected locally at the Edge on the on-premise iQunet server. The iQunet AI service, equipped with Anomaly Detection, runs continuously on all sensors, providing early and sensitive warnings of potential failures.
Read the full story regarding setup and detailed results in the complete case study. (split in 3 parts)
SUMMARY
- Plant type: Waste treatment
- Asset type: ballistic separators, waste conveyors
- Critical parts being monitored: critical bearings on drive axes of multiple machines
- Installed iQunet monitoring: