Doosan Enerbility has moved to advance its power plant equipment operation and maintenance technologies by utilizing artificial intelligence (AI) to detect early signs of equipment failures and identify micro-cracks.
Doosan Enerbility announced on the 15th that it held the "2026 Power Generation Operation Technology Exchange Meeting" at its headquarters in Changwon, South Gyeongsang Province, over two days starting on the 12th, inviting major domestic power generation companies and industry-academia experts. Approximately 100 people, including officials from power generation companies and university professors, attended the event.
The event featured presentations on △the current status of combined cycle power generation projects and supply response strategies, △AI-based remote monitoring and diagnostic technologies, △micro-crack detection using AI, and △cases of building and utilizing AI data in the power generation sector.
In particular, actual development and application cases were shared, including Doosan Enerbility's self-developed predictive diagnostic solution "PreVision" and its AI non-destructive testing technology. PreVision is a technology that analyzes operational data from power plant equipment to detect abnormal signs at an early stage. AI non-destructive testing is used to improve maintenance efficiency by detecting defects such as micro-cracks without damaging the equipment.
Along with expanding the supply of power plant equipment such as gas turbines, Doosan Enerbility is also strengthening its long-term service and digital solution businesses. The company aims to enhance the stability of equipment operations by combining operational data and AI with the technology accumulated during the manufacturing and maintenance processes of power plant equipment.
Son Seung-woo, head of the Power Service Business Group at Doosan Enerbility, stated, "It is becoming increasingly important to combine operational data and AI technology with experience in manufacturing and maintaining power plant equipment." He added, "We will continuously share the field experiences and technical needs of our power generation company customers and use this as a foundation to further advance our digital service technologies."
On the second day of the event, attendees toured Doosan Enerbility's gas turbine factory and its testing and education center for the self-developed power plant equipment control system "GUARDIAN." Doosan Enerbility plans to expand technical cooperation with customers from the manufacturing of power plant equipment through to operations and maintenance.
in INDUSTRY
