核电设备在线状态监测与故障预警系统的研究与设计

Research and Design on On-line Condition Monitoring and Prewarning System for Nuclear Power Plant Equipment

日本福岛核泄漏事故再一次为世人敲响了核电站安全运行的警钟。通过技术对核电设备状态进行监测,实现早期故障预警,是保障核电站安全运行的重要挑战。本文在对当前采用的振动诊断技术和故障诊断专家系统进行对比性分析研究的基础上,结合核电站运行设备的特点,应用海量数据挖掘技术,建立一个核电站设备在线状态监测和故障预警系统,实现了对核电站整体设备性能的管理,极大地提高了设备的可靠性和稳定性,降低了设备潜在的事故发生机率。本文的内容对核电站设备运行状态的在线监测和故障预警系统的建立有极高的借鉴意义。

Fukushima Daiichi Nuclear Power Plant accident in Japan has dealt a deadly warning for the world on the safety of nuclear power plant operations. A big challenge to maintain the safe operation of nuclear power reactors and plants is to establish monitoring over nuclear power facilities and to realize early warnings of equipment problems. Based on a comparative analysis of current vibration diagnosis techniques and fault diagnosis expert systems, the research adopts technologies in mining of massive datasets and develops an on-line condition monitoring and pre-warning system for nuclear power plant facilities. The system achieves management over the entire nuclear power plant facilities and significantly increases equipment reliability and availability, as well as lowers occurrence of potential risks. The research has great impact on developing on-line condition monitoring and pre-warning system for nuclear power plant facilities.