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Predictive maintenance assembly monitoring

Maintenance: Production

Service

“ Real-time tightening monitoring : Engineers perform endurance tests on chassis screws of operational tractors navigating test routes. Using our embedded real-time measurement system, they can identify failure scenarios and pinpoint sensitive areas on their equipment. Predictive maintenance assembly monitoring : Engineers at GE (Greenville, USA) utilize TRAXX-M2 devices to control the assembly of the 7HA gas turbine (350 MW). During the initial tightening, the tension values of each screw and the tightening parameters of the threaded assembly are recorded, making this data accessible for maintenance purposes. ”
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Maintenance tightening and real-time monitoring

In which situations?

In the short term, monitor the behavior of a threaded assembly in real-time. This enables you to study your assembly's performance "in action" during the most critical situations. By doing so, you'll understand the variations in forces affecting your screws and determine the mechanical limits of the assembly.

In the long term, observe the behavior of a threaded assembly over periods of 1 year, 5 years, or even 10 years. This approach is commonly used in maintenance tightening services and quality monitoring.

How it works ?

In the long term, the TRAXX-M2 device stores and maintains the tightening data for each screw, including the screw's identifier, characteristics, date and time of tightening, and the applied tension. This data can be utilized to track the evolution of screws over time, ensuring precise control of work performed, traceability of operations, analysis of results, and scheduling of maintenance tightening tasks.

In real-time, the TRAXX-M2 monitors the behavior of multiple screws simultaneously, conducting several hundred measurements per second.

Energy : EDF, GE, HUSKY ENERGY, TOTAL (centrale nucléaire, turbine à gaz) Rail : ALSTOM Aeronautics and Astronautics : AIRBUS, DASSAULT, SAFRAN, TURBOMECA Automotive : Stellantis, Citroen, Renault, HYUNDAI, Alpine, Ferrari, Redbull Ford Powertrains, Peugeot Sport, TDR

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