지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.1
- 수록면
- 737 - 752 (16page)
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초록· 키워드
오류제보하기
As condition-based maintenance (CBM) has risen as a new trend, there has been an active movement to apply information technology for effective implementation of CBM in power plants. This motivation is widespread in operations and maintenance, including monitoring, diagnosis, prognosis, and decision-making on asset management. Thermal efficiency analysis in nuclear power plants (NPPs) is a longstanding concern being updated with new methodologies in an advanced IT environment. It is also a prominent way to differentiate competitiveness in terms of operations and maintenance costs.
Although thermal performance tests implemented using industrial codes and standards can provide officially trustworthy results, they are essentially resource-consuming and maybe even a hind-sighted technique rather than a foresighted one, considering their periodicity. Therefore, if more accurate performance monitoring can be achieved using advanced data analysis techniques, we can expect more optimized operations and maintenance. This paper proposes a framework and describes associated methodologies for in-situ thermal performance analysis, which differs from conventional performance monitoring. The methodologies are effective for monitoring, diagnosis, and prognosis in pursuit of CBM. Our enabling techniques cover the intelligent removal of random and systematic errors, deviation detection between a best condition and a currently measured condition, degradation diagnosis using a structured knowledge base, and prognosis for decision-making about maintenance tasks. We also discuss how our new methods can be incorporated with existing performance tests. We provide guidance and directions for developers and end-users interested in in-situ thermal performance management, particularly in NPPs with large steam turbines.
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등록된 정보가 없습니다.
참고문헌 (30)
참고문헌 신청
/ / GateCycle Software / GE Measurement & Control
/ / PEPSE / SCIENTECH
/ 1988 / ASME PTC 6S-1988, Procedures for Routine Performance Test of Steam Turbines / American Society of Mechanical Engineers
/ 1993 / ASME PTC PM-1993, Performance Monitoring Guidelines for Steam Power Plants / American Society of Mechanical Engineers
/ 2004 / ASME PTC 6-2004, Performance Monitoring Guidelines for Steam Turbine / American Society of Mechanical Engineers
/ / PEPSE / SCIENTECH
/ 1988 / ASME PTC 6S-1988, Procedures for Routine Performance Test of Steam Turbines / American Society of Mechanical Engineers
/ 1993 / ASME PTC PM-1993, Performance Monitoring Guidelines for Steam Power Plants / American Society of Mechanical Engineers
/ 2004 / ASME PTC 6-2004, Performance Monitoring Guidelines for Steam Turbine / American Society of Mechanical Engineers
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