Dwindling energy resources and increasing global energy consumption have made it crucial to focus on preventing unnecessary energy losses rather than solely increasing energy production. Approximately 47% of global energy consumption, with 67% of these systems being utilized in industrial sectors. Consequently, continuous monitoring and maintenance of the motors widely used in the industrial sector play a critical role.
Continuous monitoring of machine health not only enhances the reliability of motor systems but also improves energy efficiency. WiserSense advanced monitoring systems are employed to track real-time operating conditions of motors, measure and analyze parameters such as vibration, temperature, current, and more. Our systems enable early detection of potential motor failures, facilitating planned maintenance and repairs. By doing so, unexpected motor breakdowns are prevented, production continuity is ensured, and energy efficiency is increased.
Machine Health Monitoring
Early Fault Detection
Focusing on machine health in digitalization processes enhances the competitive advantage of businesses while optimizing energy efficiency and helping achieve sustainability goals.
We offer an excellent online monitoring experience by using a 3-axis sensor and collecting data up to 26.6 kHz!
You can simultaneously monitor all types of faults such as imbalance, looseness, alignment errors, bearing/gear failures, cavitation, and more.
With data collection speed of up to 80 kHz, you can detect potential issues with your bearings, gears, and lubrication at a very early stage.
By collecting data up to 32 kHz, you can detect motor-specific problems such as rotor bar faults, eccentricity, short circuits, load imbalance, alignment, and winding issues.
The combination of vibration and magnetic flux sensors allows for high-accuracy estimation of machine revolutions per minute (RPM).
In addition to other sensors, you can also detect temperature-related faults, providing an additional layer of verification.
These capabilities enable comprehensive monitoring of various machine health parameters, allowing for early fault detection and preventive maintenance. By utilizing these advanced monitoring techniques, you can enhance the reliability, efficiency, and longevity of your machines.
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