Intelligent condition monitoring for electric motors and drive systems
In the context of modern industry, operational continuity and plant reliability are strategic factors for the competitiveness of manufacturing companies. Condition Monitoring enables continuous monitoring of the health status of machines and critical components, identifying anomalies before they turn into failures or unplanned downtime.
In this context, SICK solutions for condition monitoring of electric motors, fans, turbines, and blowers are designed to support predictive and condition-based maintenance strategies, based on the actual operating status of the machine.
Real-time multi-parameter monitoring.
At the heart of the solution is SICK’s Multi Physics Box (MPB) sensor, a compact device capable of simultaneously measuring vibrations, shocks, and temperature. The sensor uses triaxial MEMS elements and compares the measured values against configurable thresholds, in accordance with ISO 10816-3 standards for the evaluation of vibrations in rotating machinery.
Ready-to-use data for predictive maintenance.
The data are pre-processed directly in the sensor and provided as easily interpretable condition indicators. If the configured thresholds are exceeded, the system generates alerts via digital outputs or IO-Link communication, facilitating integration into automation and supervisory systems.
Easy integration into industrial plants.
SICK Condition Monitoring solutions are designed to be installed on both new plants and existing machines. The sensor can be mounted directly on the component to be monitored and connected to control systems via standard industrial interfaces, making it suitable also for revamping projects.
The value for EAS INDUSTRY.
For EAS INDUSTRY, SICK Condition Monitoring technologies represent a key tool in automation, revamping, and predictive maintenance projects, enabling the transformation of field data into actionable information to improve plant reliability and efficiency.
