Engine Hyper Cube
By Propulsion Analytics
The most advanced model-based solution for continuous engine performance assessment, fault diagnostics and troubleshooting support
Why choose this solution
Identify Engine Issues
Model-based approach enables early identification of faults at any operating condition, helping to avoid engine underperformance and downtime.
Reduce Troubleshooting Time
Automatically identify the problematic components and distinguish between actual faults and sensor errors.
Improve Maintenance Planning
Obtain the fuel penalty caused by each fault and fault prognostics to improve maintenance decisions.
SEE IT IN ACTION
CONTINUOUS EVALUATION OF ENGINE PERFORMANCE
Engine Hyper Cube uses a thermodynamic model to create an exact digital replica of each engine. This digital twin can provide reference values for all engine parameters under any operating condition. This enables the continuous engine performance evaluation independently of engine load, speed, fuel, parameter settings or environmental conditions, providing performance optimisation recommendations and allowing immediate identification of faults, reducing the chance of major issues or vessel unavailability.
DETAILED FAULT DIAGNOSTICS
Engine Hyper Cube uses an algorithm to automatically localise faults, distinguish between component and sensor faults, and provide recommendations based on the deviation of measurements from expected performance values provided by the digital twin. The digital twin also outputs the fuel consumption increase attributed to each specific fault identified and provides prognostics for the development of issues. This helps reduce troubleshooting time, while also aiding with maintenance decision making.
VALIDATION OF CRITICAL SENSORS
The digital twin within Engine Hyper Cube can act as a virtual sensor, to output continuous values for shaft torque, power and engine fuel consumption, using a few engine measurements which are intrinsically simple and reliable. This can be used to validate measurements which are critical for the performance monitoring of the vessel, to ensure correct performance-related decisions.