압축기 고장유형별 데이터 진단 기준 분석 연구

• 영문명: Research on data diagnosis standard analysis by compressor failure type
• 발행기관: 한국환경에너지공학회
• 저자명: 김종근 이상준
• 간행물 정보: 『환경에너지공학』제19권 제2호, 1~5쪽, 전체 5쪽
• 주제분류: 공학 > 환경공학
• 파일형태: PDF
• 발행일자: 2024.12.31

국문 초록

Prevention of facility failure is a technology used in the manufacturing industry, power plants, plants, and industries. Systems that require high reliability can cause fatal accidents when wear, defects, or failures of operating equipment or facilities occur, requiring regular inspection and maintenance. In addition, complex systems such as oil and gas plants, power generation plants, and aircraft facilities require a lot of effort in basic design and maintenance because a single facility failure causes large losses and many casualties. Therefore, the purpose of this study is to review the research and status of existing oil and gas plants on the type of facility failure that precedes the predictive diagnosis of compressors in the plant and to present a method of analyzing data diagnosis criteria according to the type of failure of the compressor. In this study, the normal state was set using a commercial compressor Data Sheet, and the type of failure and the range of failure data were analyzed using actual normal data and failure data. Since limited actual data were used, detailed failure types could not be classified, but failure types were analyzed by dividing them into five types: bearing, valve, lubricant, leakage and insufficient, and surge area.

목차

1. 서 론

2. 설비 고장 진단을 위한 이상감지 기법 종류

3. 고장유형별 데이터 진단 기준 분석 방법

4. 결 론

감사의 글

References

키워드

Compressor Data diagnosis Failure type Failure Prediction Data Analysis