KIMM Cracks the Code for Underwater Radiated Noise Prediction

Researchers in South Korea at the Korea Institute of Machinery and Materials (KIMM) have reportedly developed a hull-attached sensor-based system for predicting underwater radiated noise (URN), a key factor in naval stealth operations.

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  KIMM Develops First Hull-Attached Sensor System for Predicting Underwater Radiated Noise

• New algorithm predicts underwater noise in real time

• Boosts naval stealth and operational efficiency

The new technology allows real-time monitoring of underwater noise levels generated by naval vessels, enabling early detection of abnormal vibrations and improving operational efficiency while reducing maintenance costs.

The research team, led by Principal Researcher Seong-Hyun Lee at the Virtual Engineering Research Center of the Korea Institute of Machinery and Materials, under the National Research Council of Science and Technology, successfully validated the system through full-scale trials on multiple naval ships. The team developed a proprietary algorithm and sensor placement technology that accurately monitors and predicts both hull vibration and underwater noise using empirical data gathered during vessel operation.

• “This world-class system enables real-time prediction and monitoring of strategically sensitive underwater noise data,” said Principal Researcher Seong-Hyun Lee of KIMM. “It not only strengthens naval stealth capabilities but also enhances early fault detection and maintenance efficiency across diverse naval operations.”

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