Data Analytics, Digital Twin Refinement, Prediction.

AMOG developed a digital twin, validated against measured stresses in the operating prototype structure. The analysis, digital twin verification and prediction of the progression of future fatigue damage provided a basis for the identification of remedial measures. This allowed the machine service life to be extended for an additional 20 years, enabling the deferment of significant capital expenditure. The risk-based inspection regime also delivered potential to reduce downtime risk below the required threshold.

Edge Devices: Strain gauges, accelerometers, bucket wheel and slew drive motor current (by others)

Bridge/Comms: Site SCADA (by others)