核电站分布式智能故障诊断系统研究与设计OA北大核心CSCDCSTPCD
Research and Design of Distributed Intelligence Fault Diagnosis System in Nuclear Power Plant
为进一步减少核电站运行中发生故障后的误操作,根据核电站各设备功能分布及核电站数字化仪控系统分布式控制的特点,研究设计了核电站分布式状态监测与故障诊断系统.依据分解-综合的诊断思想,提出模糊神经网络和RBF神经网络进行分布式局部诊断和多源信息融合技术进行全局综合诊断的方法.仿真实验结果表明,该诊断系统能够正确诊断压水堆核电站多个典型故障,并能为核电站运行提供有效的帮助信息.
In order to further reduce the misoperation after the faults occurring of nuclear power plant, according to the function distribution of nuclear power equipment and the distributed control features of digital instrument control system, a nuclear power plant distributed condition monitoring and fault diagnosis system was researched and designed. Based on decomposition-integrated diagnostic thinking, a fuzzy neural network and RBF neural network was presented …查看全部>>
刘永阔;谢春丽;成守宇;夏虹
中国核动力研究设计院,四川成都610041哈尔滨工程大学核安全与仿真技术国防重点学科实验室,黑龙江哈尔滨150001东北林业大学交通学院,黑龙江哈尔滨150040哈尔滨工程大学核安全与仿真技术国防重点学科实验室,黑龙江哈尔滨150001
能源科技
核电站分布式监测诊断模式分布式控制系统故障诊断
nuclear power plant distributed monitoring and diagnostic mode distributed control system fault diagnosis
《原子能科学技术》 2011 (6)
688-694,7
哈尔滨市科技创新人才研究专项资金资助项目(RC2009QN010034)
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