Korea Hydro & Nuclear Power Introduces 'AI Doctor' at Yecheon Pumped Storage Power Plant

First Application of Digital Twin-Based Condition Monitoring System

AI Analyzes Signs of Failure in Real Time

Expansion Planned for Pumped Storage Power Plants Nationwide, Including Samrangjin

H-AIMD system panorama view. Korea Hydro & Nuclear Power.

Korea Hydro & Nuclear Power has introduced an intelligent diagnostic system at its sites that uses artificial intelligence (AI) to detect early signs of abnormality in power generation facilities.

The company announced on March 10 that it has implemented its self-developed condition monitoring and automatic predictive diagnostic system, "H-AIMD (Hydro-Artificial Intelligence Monitoring & Diagnosis)," at the Yecheon Pumped Storage Power Plant.

H-AIMD is the first AI-based facility diagnostic system in Korea specialized for the operating environment of pumped storage power plants. Based on digital twin technology, it creates a virtual environment identical to the actual power generation facility, enabling real-time monitoring of facility conditions.

The core function of this system is to enable AI to analyze various operational data, including vibration data generated by power generation equipment, to predict potential abnormalities or failures in advance. In particular, pumped storage power plants are subject to frequent starts and stops, which place a significant burden on the equipment, making precise condition monitoring crucial. H-AIMD is described as an intelligent diagnostic system designed specifically for such operating conditions.

Korea Hydro & Nuclear Power expects that the introduction of this system will help prevent unexpected shutdowns of power generation facilities and reduce economic losses and maintenance costs caused by equipment failures.

Based on the pilot operation results at Yecheon Pumped Storage Power Plant, the company plans to expand the system to other pumped storage power plants such as Samrangjin Pumped Storage Power Plant. In addition, Korea Hydro & Nuclear Power will continue research and development on a Condition Based Maintenance (CBM) platform that determines maintenance timing according to the actual condition of the equipment by utilizing accumulated diagnostic data.

Shin Hocheol, Head of the Central Research Institute at Korea Hydro & Nuclear Power, said, "We plan to continuously advance our AI-based intelligent condition monitoring and predictive diagnostic system for application to all pumped storage power plants in Korea. We will also pursue entry into overseas markets based on our highly sophisticated technology."

This content was produced with the assistance of AI translation services.