Science & Tech · AI · 48 mins ago
Doosan Enerbility shares AI power plant technologies with industry
Doosan Enerbility held a power plant technology exchange at its headquarters in Changwon, South Korea.
The two-day event began on November 12 and brought together more than 100 people from power companies and expert groups.
Participants heard about AI tools for remote monitoring and diagnosis of power plant equipment.
The company also presented AI methods for finding tiny cracks and examples of its predictive diagnosis system, PreVision.
These technologies focus on monitoring equipment and identifying problems, including cracks, as part of plant operations and maintenance.
Doosan Enerbility says it has held these exchanges since 2022 to share operating experience and technology with customers.
Doosan Enerbility held a technology exchange on power plant operations and maintenance in Changwon, South Korea.
The two-day event began on November 12 and brought together more than 100 people, including power company representatives and academic and industry experts.
Presentations covered AI-based remote monitoring and diagnosis, AI detection of microcracks, and applications of the Prevision predictive diagnosis solution.
The company has held the exchange since 2022 to share power plant operating experience and technology with customers.
- Who
- Doosan Enerbility hosted the event, with more than 100 power company representatives and academic and industry experts attending.
- What
- A technology exchange on power plant operations and maintenance, including AI-based technologies.
- When
- It began on November 12, 2026, and lasted two days.
- Where
- Doosan Enerbility’s headquarters in Changwon, South Korea.
- Why
- To share power plant operating experience and technology with customers.
This story does not have two clearly opposing sides.
Doosan Enerbility began its two-day power plant operations technology exchange at its Changwon headquarters.
Yonhap reported that the event had been held and described the technologies presented.
- Attendees
- More than 100
- Location
- Doosan Enerbility headquarters, Changwon
- Event duration
- Two days
- Technologies presented
- AI remote monitoring and diagnosis; AI microcrack detection; Prevision predictive diagnosis
- Exchange series
- Held since 2022