Innovation in the aviation industry is often associated with high-tech engines, complex aircraft designs, or even the development of sustainable airline fuel. While these sub-fields of aviation definitely have improvements to be made as technology evolves, it is unlikely that any new ground-breaking technology related to those fields will emerge within the next few decades. Currently, the greatest leaps to be made in the aviation industry are related to airline maintenance. With big data emerging as one of the hottest fields in the past few years, airlines have leveraged complex data software to accelerate their maintenance process.

What is Predictive Maintenance?

At the root of it, predictive maintenance is the use of technology to determine which parts of an aircraft require tweaking in advance. With access to real-time sensor data and maintenance logs, the right software can accurately determine when a maintenance check will be required before an engine or another crucial aircraft component starts to show signs of suboptimal performance.

Big Data and Predictive Maintenance

Predictive maintenance has been made possible in the past few years largely due to the evolution of big data and technology surrounding it. Artificial intelligence in particular is responsible for some of the largest advancements in predictive maintenance, as complex machine learning algorithms have studied reams of data related to maintenance logs to identify patterns in an aircraft’s life cycle. These patterns, combined with real-time sensor data, can accurately predict any form of repair that may be required in advance.

Why Predictive Maintenance is so Important

The value of predictive maintenance extends beyond just saving time between landing and take-off. While saving time does often mean saving money for an airline, there is another aspect of maintaining an aircraft that leads to tremendous waste: purchasing spare parts. Repairing a flight engine isn’t quite as simple as tightening a few nuts and bolts. Faulty parts need to be removed and replaced with newer, better parts.

Without the help of predictive maintenance, it would be impossible to know which components need to be replaced before they become worn out. As such, airlines would need to purchase enough spare parts to accommodate for every imaginable situation, even though many of them wouldn’t be used. Predictive maintenance gives airlines advanced notice of when a part will need to be replaced, giving them enough time to purchase the part before they need it and only when they need it.

Data Sharing in Aviation

Machine learning works best when given large amounts of data to work with. Most airlines simply aren’t capable of producing enough data for their predictive maintenance software to accurately identify patterns related to their aircraft. This is why collaboration and data sharing through secure platforms such as is an important step in the aviation industry’s prosperity as a whole.

The Benefits of

QOCO’s data-sharing platform, partnered with Rolls-Royce and its TRENT engines, allows airlines to leverage their real-time sensor data and other live information to save on time and costs in the maintenance process. In addition, predictive maintenance not only leads to the increased efficiency of engine repair but also gives said engines a greater lifespan. also guarantees the utmost security to its users, ensuring that an airline’s sensitive information remains within the right hands. In essence, can be used for a variety of purposes such as APU data etc.

Andy Graham, CCO and Partner at QOCO

Request a demo

Request a demo and we will contact you shortly to set up a call and present you our solutions. We will be happy to walk you through how our tools work and what can be delivered.

Thank you!

Our team will get in touch with you as soon as possible to book a date and move forward.

Team - QOCO Systems
Oops! Something went wrong, please double check :-)
By clicking “Request a demo", you agree to our Privacy Policy.
More Posts

You Might Also Like

Automated aircraft maintenance planning and scheduling - a better way
How to automate aircraft maintenance planning and scheduling with the new groundbreaking - Assignment? This article looks under the hood of the current situation and ways to handle the upcoming resource shortage.
Mar 27, 2024
Meet Matti Nevala, QOCO’s new CEO.
We’re excited to announce Matti Nevala as Chief Executive Officer at QOCO Systems Ltd. Matti is a seasoned executive with over ten years of extensive experience in leading growth companies. Under his leadership, QOCO will be guided to its subsequent development chapter.
Mar 19, 2024
The Top 5 Innovations and Trends in Aviation in 2024
Stay ahead of the curve with the latest innovations and trends in aviation for 2024. Discover everything you need to know in my latest blog post. Check it out now to stay informed!
Mar 14, 2024
Embracing Maintenance 4.0 and collaborative innovation
In the dynamic world of aviation, the challenges facing aircraft maintenance have evolved, and now a further significant hurdle looms large — world wide staff shortages. To address that challenge, the adoption of digital transformation will become crucial for efficient and effective aircraft maintenance.
Mar 14, 2024
Navigating the Future: Optimizing Data Transfer in Aviation
Explore the dynamic landscape of aviation data transfer with industry experts from QOCO. Delve into the latest trends, challenges, and opportunities, and discover how digital solutions, automation, and collaboration can optimize processes.
Feb 19, 2024
TAP Air Portugal Has Partnered With QOCO Systems Ltd To Enhance Their Tool Management
We are delighted to announce a strategic collaboration between TAP Air Portugal, the foremost airline of Portugal, and QOCO Systems Ltd. This partnership is set to bring added value to both TAP Air Portugal and QOCO Systems Ltd, and we are thrilled to see our collaboration with TAP develop.
Feb 19, 2024
Explore ALl Posts