Korean Air led the 2026 Predictive Maintenance Airline Workshop between April 22 and 23 in its Seoul headquarters, with 70 representatives from 20 carriers globally. It aims to generate a worldwide network for predictive maintenance through the workshop.
Build partnerships to enhance safety
Predictive maintenance is the process of analysing real-time flight data to identify anomalies in systems or components before operational failure. The approach aims to lessen maintenance downtime and flight disruptions due to technical issues. Korean Air was the first airline in Korea to establish this system, and its use of predictive maintenance has allowed for more reliable aircraft.
Korean Air’s Executive Vice President and Chief Safety and Operating Officer (CSO) Jong Seok Yoo stated in his keynote address the airline’s move towards building partnerships in order to prioritise safety:
“Developing an optimised predictive maintenance framework is a challenge that no single carrier can address alone. This workshop aims to build the partnerships required to enhance safety and operational efficiency across the aviation industry.”
Flight-generated data and solutions
On the first day of the workshop, the acquisition of flight-generated big data was examined by the group in attendance. During the sessions, plans for successful implementation of predictive maintenance across varied aircraft models were identified. Participants also toured Korean Air’s Engine Test Cell (ETC) and Incheon’s Flight Training Centre.
The second day of the workshop focused on solutions and the experiences of users, looking at airline proprietary failure-prediction models. The examination of commercial solutions preceded a forum looking at current technical trends.
Korean Air’s workshop network hopes to create data sharing opportunities and improve maintenance safety standards globally.
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