On September 22, 2025, the Global Research Laboratory (GRL) hosted a seminar led by Mr. Hong-Cheol Lee, Principal Researcher at Hanwha Aerospace.
The talk, titled “Expanding Aircraft Predictive Maintenance Using Big Data” with the subtitle “Advancing Weapon System Maintenance Concepts Based on CBM/RCM,” provided valuable insights into the latest trends and advancements in aerospace reliability and defense maintenance strategies.
During the session, GRL members engaged in discussions with Mr. Lee, exploring how Condition-Based Maintenance (CBM) and Reliability-Centered Maintenance (RCM) frameworks are evolving with big data technologies to enhance system reliability and operational readiness in the defense sector. The seminar also fostered a meaningful exchange of perspectives on the future direction of reliability engineering for military and aerospace applications.
This event allowed GRL to deepen its understanding of data-driven predictive maintenance and to connect its ongoing research on reliability and intelligent maintenance systems with cutting-edge industry practices. The team looks forward to further collaboration and knowledge sharing with experts in the aerospace and defense fields.
On September 22, 2025, the Global Research Laboratory (GRL) hosted a seminar led by Mr. Hong-Cheol Lee, Principal Researcher at Hanwha Aerospace.
The talk, titled “Expanding Aircraft Predictive Maintenance Using Big Data” with the subtitle “Advancing Weapon System Maintenance Concepts Based on CBM/RCM,” provided valuable insights into the latest trends and advancements in aerospace reliability and defense maintenance strategies.
During the session, GRL members engaged in discussions with Mr. Lee, exploring how Condition-Based Maintenance (CBM) and Reliability-Centered Maintenance (RCM) frameworks are evolving with big data technologies to enhance system reliability and operational readiness in the defense sector. The seminar also fostered a meaningful exchange of perspectives on the future direction of reliability engineering for military and aerospace applications.
This event allowed GRL to deepen its understanding of data-driven predictive maintenance and to connect its ongoing research on reliability and intelligent maintenance systems with cutting-edge industry practices. The team looks forward to further collaboration and knowledge sharing with experts in the aerospace and defense fields.