Development of Multi-Sensor Convergence Monitoring and Diagnosis Device based on Edge AI for the Modular Main Circuit Breaker of Korean High-Speed Rolling Stock

• Published in: International Journal of Advanced Culture Technology(IJACT) Vol. 10; no. 4; pp. 569 - 575
• Main Authors: 윤병주, 김종일, 윤재영, 강정진, 홍유식
• Format: Journal Article
• Language: English
• Published: 국제문화기술진흥원 31.12.2022
• Subjects: 과학기술학; Monitoring and Diagnosis Device; Data Mining; Temperature and Humidity Monitoring and Diagnosis; Operating Coil Monitoring and Diagnosis; Vacuum Level Monitoring and Diagnosis; Edge AI
• ISSN: 2288-7202; 2288-7318
• DOI: 10.17703/IJACT.2022.10.4.561

This is a research thesis on the development of a monitoring and diagnosis device that prevents the risk of an accident through monitoring and diagnosis of a modular Main Circuit Breaker (MCB) using Vacuum Interrupter (VI) for Korean high-speed rolling stock. In this paper, a comprehensive MCB monitoring and diagnosis was performed by converging vacuum level diagnosis of interrupter, operating coil monitoring of MCB and environmental temperature/humidity monitoring of modular box. In addition, to develop an algorithm that is expected to have a similar data processing before the actual field test of the MCB monitoring and diagnosis device in 2023, the cluster analysis and factor analysis were performed using the WEKA data mining technique on the big data of Korean railroad transformer, which was previously researched by Tae Hee Evolution with KORAIL.