| Summary: | 碩士 === 中原大學 === 工業工程研究所 === 96 === Due to the progress of digital technology and obsolescence of analog control equipment, many nuclear systems have been upgraded from analogy to computer-based systems. The newer computer-based systems utilize computers with sensors, actuators, and software. When these systems can be replaced with computer-controlled equipment, the operator’s burden and maintenance costs can often be reduced. Although there are many advantages for computer-based design, there are still some characteristics inherent in software and hardware integrated systems, human-machine interfaces and project management which may cause failure events during operation or maintenance phase.
The Nuclear Energy Agency (NEA) which is a specialized agency within the Organization for Economic Cooperation and Development (OECD). OECD NEA promoted the Computer-based Systems Important to Safety (COMPSIS) project to collect and analyze operating experience on safety events. Its aim is provide a forum for sharing information and experience and promoting international co-operation; a centre of excellence which helps member countries to pool and maintain their technical expertise.
In this thesis, we have developed a Causal and Effect Analysis Model (CEAM) and Ontology-based Cause Analysis System to analyze the COMPSIS events visually and in depth. In addition, we also employed OWL (Web Ontology language) and inference engine FACT++ to support reasoning process. Finally, statistics and the lessons learned are given. It is anticipated that our proposed model can apply to the design, operation and maintenance of safety system in nuclear power plant.
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