April 15, 2024

Vueling utilises predictive maintenance technology

Vueling has announced that it has integrated Airbus’ Skywise Predictive Maintenance technology into its fleet maintenance digitalisation process. The objective is to anticipate and plan unscheduled maintenance of its fleet further in advance as part of efforts to optimise operations.

In recent years, Vueling has successfully built an artificial intelligence-based ecosystem to address key challenges in operational maintenance efficiency. The project began with the mass digitisation of aircraft and engine data. This process improves maintenance planning, optimises the execution of scheduled tasks and synchronises fleet plans, capacity and availability for the execution of maintenance tasks. With real-time monitoring of maintenance in progress this results in more accurate management.

Skywise Predictive Maintenance technology

As part of its transformation plan, the airline is taking a further step in its digital transformation process by integrating Airbus’ Skywise Predictive Maintenance technology, which enables the monitoring of aircraft using the airline’s internal data models to generate predictive alerts for aircraft maintenance. As a result, the airline is better able to optimise its operations by using machine learning to anticipate unscheduled maintenance events or other unforeseen requirements.

The Airbus solution is the first project driven by the Airbus Digital Alliance, which includes Delta TechOps, General Electric and Airbus, to combine different predictive maintenance algorithms. The technology covers a range of aircraft and engine components from different manufacturers and represents a proven predictive maintenance system with more than 200 algorithms covering different aircraft systems.

Vueling has already installed predictive technology on 53 aircraft. That makes it the airline that currently has the most aircraft with such technology.

Isabel Garcia Alvarez, Director of Operations Planning at Vueling, said: “We are a digitally native company with a strong commitment to innovation. With this project, we are investing in the improvement of our operations through predictive models that allow us to anticipate the needs of our fleet and thus offer a better service to our passengers.” 

vueling.com ; aircraft.airbus.com

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