How Predictive Maintenance Enhances Aircraft Performance and Reliability
Explore how predictive maintenance transforms aircraft maintenance by using real-time data to anticipate issues, improve safety, and reduce costs, ensuring greater reliability and performance. Explore emerging technologies and industry trends that make predictive maintenance the cornerstone of modern aviation strategies.
What MROs Can Gain from Predictive Maintenance
Explore how Maintenance, Repair, and Overhaul (MRO) organisations can implement Predictive Maintenance to enhance efficiency and reduce costs. Learn about the similarities and differences with commercial airlines, key considerations, and practical steps for successful implementation.
How to maximize the benefits of Predictive Maintenance in Aircraft Maintenance
Aircraft maintenance is a crucial aspect of aviation, as it ensures the safe and efficient operation of aircraft. Predictive maintenance offers significant benefits such as reduced downtime, and costs.
Learn more about how to maximize the benefits of predictive maintenance
Data in Aircraft Maintenance – What can we do with it?
Data collected during aircraft maintenance can be used for various purposes beyond just regulatory compliance and proactive maintenance. Below we have listed some examples of how data can be leveraged in aircraft maintenance:
Is Predictive maintenance On Your Agenda?
Before starting with predictive maintenance we need to work on one important aspect - data quality and data standardization
Video - Short Introduction to the Different AVILYTICS Workspaces: Reliability Management Logistics, E&M KPI, AOG Risk Monitor
Short introduction video of the different workspaces within AVILYTICS
Reliability Management for Helicopters: How to make the transition from preventive to predictive maintenance
Learn more about how Helicopter operators can make the transition from MSG 2 to MSG 3 and how to harness the data required for effective reliability management.
AOG risk monitoring, what is it and why does it matter?
An Aircraft On Ground (AOG) event is one of the most costly occasions within any airline operations. An unexpected technical defect on an aircraft can result in increased downtime.
Quick Reference Guide on how Airlines can do Predictive Analytics
Over the last several years data generated by aircraft has increased exponentially thru introduction of new onboard equipment that allows for the so-called connected aircraft.
Predictive Maintenance in Aviation - What is it & why does it matter?
Sander de Bree presented to a wide audience an interactive and informative presentation about predictive maintenance in aviation - what is it and why does it matter?
Are you ready for predictive maintenance?
Over the last several years data generated by aircraft has increased exponentially thru introduction of new onboard
What is the relation between Airline Passenger Experience & Aircraft Maintenance Data?
The global industry is in full swing to become an experience-oriented industry. Increasing customer expectations and the difficulty to differentiate on hardware alone, is also making the aviation industry.
Stay ahead and leave Excel behind - 5 reasons why and how
Within aviation Excel is still widely used for data analyzing purposes; For data and tech savvy’s it might be surprising for people working longer in aviation it is less.
Big Data in Aviation - Reduce Costs trough Predictive Maintenance
The aviation industry is grasping for opportunities to reduce costs. Big data has been making headlines in several industries, promising to revolutionize the way in which businesses are able to make decisions.
Predictive Maintenance: What about Business Jets?
10 to 15% of aircraft in our industry are not operated commercial airlines but are business jets, which do not fly typical commercial operations.
How to refine data capture and collection for implementing predictive maintenance in aviation?
Predictive maintenance is quite a 'hot' topic and many airlines would like to implement it in the coming three tears. However, still most face two major challenges.