Development of nuclear power plant online monitoring system using statistical quality control = 통계적 방법론을 이용한 원자력 발전소 온라인 모니터링 시스템의 개발

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Statistical Quality Control techniques have been applied to many aspects of industrial engineering. An application to nuclear power plant maintenance and control is also presented that can greatly improve plant safety. As a demonstration of such an approach, a specific system is analyzed: the reactor coolant pumps (RCP) and the fouling resistance of heat exchanger. This research uses Shewart X-bar, R charts, Cumulative Sum charts (CUSUM), and Sequential Probability Ratio Test (SPRT) to analyze the process for the state of statistical control. And we made Control Chart Analyzer (CCA) to support these analyses that can make a decision of error in process. The analysis shows that statistical process control methods can be applied as an early warning system capable of identifying significant equipment problems well in advance of traditional control room alarm indicators. Such a system would provide operators with enough time to respond to possible emergency situations and thus improve plant safety and reliability.
Advisors
Chang, Soon-Heungresearcher장순흥researcher
Description
한국과학기술원 : 원자력및양자공학과,
Publisher
한국과학기술원
Issue Date
2006
Identifier
255375/325007  / 020043313
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 원자력및양자공학과, 2006.2, [ viii, 51 p. ]

Keywords

Statistical; Monitoring; Nuclear; SPRT; 축차확률비분석; 통계; 모니터링; 원자력

URI
http://hdl.handle.net/10203/49510
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=255375&flag=dissertation
Appears in Collection
NE-Theses_Master(석사논문)
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