압축기 고장 유형에 따른 데이터 확인 방법 연구

• 영문명: Research on data confirmation methods according to compressor failure type
• 발행기관: 한국환경에너지공학회
• 저자명: 김종근 이상엽 이지연 이상준
• 간행물 정보: 『환경에너지공학』제18권 제2호, 21~26쪽, 전체 6쪽
• 주제분류: 공학 > 환경공학
• 파일형태: PDF
• 발행일자: 2023.12.31

국문 초록

Equipment failure prediction is a technology used in manufacturing industries, nuclear power plants, chemical plants, railways, shipbuilding, automobiles and aerospace industries. Systems that require high reliability require regular maintenance and inspection because wear, defects, and failures of facilities or equipment in operation can cause fatal accidents. To solve these problems, fault diagnosis and prediction technology (PHM) that monitors the status of facilities in real time by utilizing advanced communication technologies such as various sensors and PEIDs (Product Embedded Information Devices) is attracting a lot of attention. Therefore, the purpose of this study is to review the research and current status of existing oil and gas plants for predictive diagnosis of core facilities in the plant, and to present a data confirmation method based on compressor failure type. In this study, we studied techniques that can infer and predict the cause of failure by using the DCS alarm system and Range limit technique to analyze instantaneous inclination and state data values by converting risk level scores.

목차

1. 서 론

2. 플랜트 설비 구성

3. 고장 유형에 따른 데이터 분석 방법

4. 결 론

감사의 글

References

키워드

Compressor Failure Prediction Data Analysis Distributed Control System