Although the proportion of coal-fired power generation is decreasing, efficient operating technology is needed to continuously invest in facilities and reduce maintenance costs until it is abolished. Boilers, one of the main facilities of power plants, operate for a long time in harsh environments of high temperature and high pressure. In addition, damage due to deterioration is likely to occur depending on the fuel and tube material used. It is very important to judge soundness because damage caused by deterioration adversely affects facility operation. Previously, replication method was used to analyze the progress of deterioration. In the replication method, pre-treatment such as chemical treatment is performed on the boiler tube in the field, the area is reproduced by attaching a film, and the replicated film is determined by an expert in the laboratory with an expensive microscope. However, this method involves substantial costs and time requirements, as well as the possibility of human errors. To address these issues, we developed a mobile health assessment system in this research. Since it is detachable and takes images in real time, this system enables swift evaluations across a broad range and facilitates the assessment of preprocessing quality. In addition, it was intended to reduce existing human mistakes by developing a degradation classification algorithm using the merger cluster method.

1. 서 론
2. 이동형 검사 장치 개발
    2.1 금속조직복제 방법
    2.2 이동형 검사 시스템 개요
    2.3 하드웨어 검증 및 현장테스트
3. 조직 열화 등급 분류 알고리즘 개발
    3.1 기존 열화등급 판정 방법
    3.2 열화등급 판정 알고리즘 개발
4. 결 론

• Chang Min Lee(Power Generation Laboratory, KEPCO Research Institute) | 이창민 (한국전력공사 전력연구원 발전연구소)
• Han Sang Lee(Power Generation Laboratory, KEPCO Research Institute) | 이한상 (한국전력공사 전력연구원 발전연구소)
• Bum Shin Kim(Power Generation Laboratory, KEPCO Research Institute) | 김범신 (한국전력공사 전력연구원 발전연구소) Corresponding author