EMBRACING A SUSTAINABLE AND TECHNOLOGICAL APPROACH AT ROLLS ROYCE
What are the potential cost-saving benefits of implementing digital technology/solutions in business aviation operations, and how do these savings compare to initial investment costs?
Implementing digital solutions that facilities pre-emptive and predictive maintenance across development, testing and production ensures we can determine the health and performance of our engines, thereby preventing any downtime.
The insight and data we glean from our digital integration also enables us to streamline process, enhance precision engineering and accelerate innovation. In the context of engine performance optimisation, for example, we use digital twins to simulate operating conditions, allowing engineers to test different
parameters and configurations. This predictive capability significantly reduces the need for costly physical testing, as potential issues can be identified and addressed early in the design phase. By optimising engine performance virtually, we are not only saving time and money but also enhancing the overall efficiency and reliability of our engines and systems.
How might AI-driven predictive analytics improve decision-making processes for business aviation operators, such as maintenance scheduling, fuel purchasing, and crew assignment?
The convergence of product and service are now inseparable thanks to advancements in AI and our latest Engine Health Monitoring (EHM) system epitomises this seamless integration.
It allows us to collect data for about 10,000 parameters – from temperatures to pressures, speeds, response times and vibration levels.
And if our advanced algorithms find an anomaly, we inform the aircraft’s operator and proactively arrange all necessary steps to avoid any service disruptions.
And in business aviation, where aircraft navigate diverse conditions, each presenting unique challenges to engine performance, data from the sensors is combined with environmental data and used as a basis for future engine enhancements.
Through the utilisation of advanced Engine Health Monitoring (EHM) systems, we’ve we successfully averted over 99 percent of potential missed trips, showcasing the reliability and precision of our predictive maintenance strategies.
Furthermore, our average response time for Aircraft on Ground (AOG) incidents has reduced to less than 24 hours – regardless of where in the world our customers are.
EHM has played a pivotal role reaching these milestones, and with ongoing advancements in AI and monitoring capabilities, we are confident in our ability to inch closer to our ultimate goal of achieving 100 percent operational availability.
Considering both sustainability and cybersecurity implications, how can operators manage and mitigate potential risks associated with integrating AI into business aviation operations?
To manage and mitigate potential risks, robust cybersecurity measures have been implemented, particularly in the two-way communications between the Engine Vibration and Health Monitoring Unit (EVHMU) and Rolls-Royce.
Akin Keskin
Vice President Digital Services, Rolls-Royce
It is crucial to note these communications are strictly with the monitoring unit EVHMU and not directly with the engine and its control system.
This design choice prevents any potential cyber threats from compromising the engine’s operation.
Furthermore, the use of AI in predictive maintenance and operational efficiency supports sustainability by optimising fuel usage and reducing emissions through more precise and timely interventions.
“By continuously monitoring and analysing engine health data, operators can proactively address maintenance needs, thereby extending the lifespan of components and minimising environmental impact.”
By continuously monitoring and analysing engine health data, operators can proactively address maintenance needs, thereby extending the lifespan of components and minimising environmental impact.
Through these strategic measures, we ensure that the integration of AI enhances both the security and sustainability of business aviation operations.
