CAJ | 학술논문

针对目前核电站安全级DCS缺陷危害性分级方法缺失的现状，利用FMEA技术对核电站安全级DCS进行分析，从功能可靠性的角度识别出所有可能的失效模式，确定引发失效的故障原因及影响程度等信息。在传统FMEA分析的基础上加入危害性分析，提出一种基于系统最终用户需求定量确定核电站安全级DCS缺陷等级的方法；结合人工智能技术，开发了缺陷分级软件。实例应用表明此法分级准确，效果良好。
침대목전핵전참안전급DCS결함위해성분급방법결실적현상，이용FMEA기술대핵전참안전급DCS진행분석，종공능가고성적각도식별출소유가능적실효모식，학정인발실효적고장원인급영향정도등신식。재전통FMEA분석적기출상가입위해성분석，제출일충기우계통최종용호수구정량학정핵전참안전급DCS결함등급적방법；결합인공지능기술，개발료결함분급연건。실례응용표명차법분급준학，효과량호。
In view of the current situation that deficiency in defect criticality classification to the safety-level DCS of the Nuclear Power Plant, the safety-level DCS of the Nuclear Power Plant is analyzed by using the FMEA technology. All possible failure modes are identified in terms of functional reliability. The failure reason and influence degree is determined. The criticality analyses are added based on the traditional FMEA. A classification method from end user is proposed in the paper. Based on the artificial intelligence technology (AIT) an expert system for defect classification is developed. The application shows that technology and the system runs stably and accurately.