Details

Autor(en) / Beteiligte

• Gyu-ri Bae
• Moon-Ghu Park
• Youngchul Cho
• Jung-Uk Sohn

Titel

Sorted compressive sensing for reconstruction of failed in-core detector signals

Ist Teil von

• Nuclear engineering and technology, 2023, Vol.55 (5), p.1533-1540

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Self-Powered Neutron Detectors(SPNDs) are used to calculate core power distributions, an essential factor in the safe operation of nuclear power plants. Some detectors may fail during normal operation, and signals from failed detectors are isolated from intact signals. The calculated detailed power distribution accuracy depends on the number of available detector signals. Failed detectors decrease the operating margin by enlarging the power distribution measurement error. Therefore, a thorough reconstruction of the failed detector signals is critical. This note suggests a compressive sensing based methodology that rationally reconstructs the readings of failed detectors. The methodology significantly improves reconstruction accuracy by sorting signals and removing high-frequency components from conventional compressive sensing methodology.