Overview
Near-Field Based Far-Field Prediction for Efficient EMC Testing
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Conventional far-field EMC tests require large anechoic chambers and long-range test sites.
These facilities cause very high costs and severe spatial constraints for EMC verification.
Large and complex systems for urban and high-speed rail need fast, accurate EMC checks in real operation.
The system predicts far-field radiation by using near-field measurements instead of direct far-field tests.
It supports on-site measurements and digital twins to analyze location-specific electromagnetic characteristics.
Core Competencies
Purpose
Near-field-based far-field prediction system replacing large anechoic and long-range tests, enabling fast and accurate EMC evaluation of railway on-board equipment.
Near-Field Data Acquisition & Preprocessing
Near-Field Data Acquisition & Preprocessing
Captures near-field data and pre-processes it for spherical wave expansion and Fourier-transform-based far-field pattern prediction.
High-Accuracy Far-Field Prediction
High-Accuracy Far-Field Prediction
Provides far-field prediction with maximum error within 3 dB and RMSE ≤ 5% versus measured far-field values.
Digital Twin-Based EMC Analysis Platform
Digital Twin-Based EMC Analysis Platform
Offers H/W and S/W system for far-field prediction based on digital twins, with performance verification completed in December 2029.
Expected Benefits
Position-Specific EMC Verification
– Verifies EMC performance of on-board communication and control devices and other railway components using near-field-based prediction.
System-Level EMC Improvement
– Identifies EMC characteristics of electrical and electronic devices in advance and reflects them in design to enhance overall railway system EMC.
Test Time Reduction
– Simplified EMC tests are expected to reduce test time by about 70%.
Early Fault Detection & Predictive Maintenance
– When linked with AI analysis, enables early anomaly detection and predictive maintenance of equipment.
Digital Testing & Certification Market
– Future application to digital testing and certification is expected to create new market opportunities.
Certifications
Performance verification of digital-twin-based far-field prediction H/W and S/W system (Dec. 2029).
TRL 9
Development progressed to the commercialization stage.
Contact
Korea Railroad Research Institute (KRRI)
Global Business Department
Dr. Insoo Han
E-mail: ishan@krri.re.kr
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