Condition and Torque Monitoring System

Enables detection of incipient damage and peak loads and frequencies

  • Condition and Torque Monitoring System
    Condition and Torque Monitoring System

The TorqueTracking system by Schaeffler is a combination of the measurement systems SmartCheck and TorqueSense. From SmartCheck they kept the detection at an early stage of the incipient damage, while from the Torque Signal they guarded the detection of peak loads and frequencies. An algorithm converts the data into information throughout the entire wind turbine. Online reporting on relevant performance indicators can be provided. With a frequency-selective condition monitoring of bearings, gearboxes, electric motors, pumps, fans and machines based on solid-borne vibrations, the damaged component can be directly established and therefore fixed.

Integrates a temperature sensor

The torque and speed signal are then sent, pre-processed and supplied to the machine control system or maintenance department, with the analysis of the vibration signals. The system can allow the monitoring of torques’ peaks and frequencies providing an evaluation system. It can also be integrated to the operating strategy to initiate torque limitation or shutdown functions. The torque signal can be used as well for the monitoring, control and regulation of the pull cable. The monitoring system can operate independently without being connected to turbine's control system. The module is positioned between the motor and the gearbox to integrate it into the flow of force or the geared motor. It also works in lubricating oil. A magnetically conditioned section of shaft and a sensor housing are also featured. The sensor housing does not completely surround the shaft, and this gives the possibility to have designs on one side only or U-shaped. The torque can be measured from outside, whilst the sensor module can be mounted from outside. Finally, the shaft diameters can be specific going up to 100mm, sensor unit already exists in different standard diameters ranging from 100Nm to 20kNm. 

Graduated in political sciences and international relations in Paris, Anis joined the team in early 2019. Editor for IEN Europe and the new digital magazine AI IEN, he is a new tech enthusiast. Also passionate about sports, music, cultures and languages. 

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