A discrimination system and method for impact signal of loose parts based on learning data

The present invention relates to an impact signal authenticity determining system by a learning-based metal foreign material and a method thereof. A purpose of the present invention is to provide the impact signal authenticity determining system by a learning-based metal foreign material and the met...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	CHOI YOUNG CHUL, YOON DOO BYUNG, JANG DAESIC, LEE JEONGHAN, CHUNG BYUN YOUNG, PARK JIN HO, KIM SUNJIN
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	ALARM SYSTEMS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING NUCLEAR ENGINEERING NUCLEAR PHYSICS NUCLEAR REACTORS ORDER TELEGRAPHS PHYSICS SIGNALLING SIGNALLING OR CALLING SYSTEMS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	The present invention relates to an impact signal authenticity determining system by a learning-based metal foreign material and a method thereof. A purpose of the present invention is to provide the impact signal authenticity determining system by a learning-based metal foreign material and the method thereof which rapidly distinguish/determine whether there is an impact signal due to a metal foreign material of a vibration signal generated in a nuclear reactor through pattern recognition using an artificial intelligence learning model. 본 발명은 학습 기반 금속 이물질에 의한 충격신호 진위 판별 시스템 및 그 방법에 관한 것이다. 본 발명의 목적은 인공지능 학습 모델을 이용한 패턴 인식을 통해서, 원자로 내부에서 발생하는 진동신호의 금속 이물질에 의한 충격신호 여부를 신속하게 구분/판별할 수 있는 학습 기반 금속 이물질에 의한 충격신호 진위 판별 시스템 및 그 방법을 제공하는 것에 관한 것이다.