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核电设备状态监测与故障诊断系统的研究
引用本文:刘永阔,夏虹,谢春丽,沈季.核电设备状态监测与故障诊断系统的研究[J].原子能科学技术,2008,42(3):200-205.
作者姓名:刘永阔  夏虹  谢春丽  沈季
作者单位:1.哈尔滨工程大学 ;核科学与技术学院,黑龙江 ;哈尔滨 ;150001; ;2.东北林业大学 ;交通运输工程学院,黑龙江 ;哈尔滨 ;150040
摘    要:故障诊断系统可作为先进核电站仪表控制系统的重要辅助工具。本文介绍1种用于核电设备的状态监测及故障诊断系统,该系统的系统程序用VisualBasic6.0开发,并集数据采集、状态监测、故障诊断于一体,功能完善,操作使用方便。为了验证该系统的有效性,在核动力装置模拟器上进行了仿真实验研究。实验结果表明,系统完全可对核电设备的典型故障进行准确识别。

关 键 词:核电设备    状态监测    神经网络    故障诊断
文章编号:1000-6931(2008)03-0200-06
收稿时间:2006-11-06
修稿时间:2006年11月8日

Research on State Monitoring and Fault Diagnosis System of Nuclear Power Equipment
LIU Yong-kuo,XIA Hong,XIE Chun-li,SHEN Ji.Research on State Monitoring and Fault Diagnosis System of Nuclear Power Equipment[J].Atomic Energy Science and Technology,2008,42(3):200-205.
Authors:LIU Yong-kuo  XIA Hong  XIE Chun-li  SHEN Ji
Affiliation:1.College of Nuclear Science and Technology, Harbin Engineering University, Harbin 150001, China;2.College of Traffic and Transportation Engineering, Northeast Forestry University, Harbin 150040, China
Abstract:The fault diagnosis system can serve as an important auxiliary tool of advanced instrument and control system of nuclear power plant. This paper introduces a kind of state monitoring and fault diagnosis system for nuclear power equipment. The system whose system program was coded with Visual Basic 6.0 was integrated with functions of data acquisition, state monitoring and fault diagnosis and was robust and easy to operate. In order to confirm the validity of this system, the simulation experiment was carried out on a nuclear power plant simulator. The experimental results show that the system can completely and accurately identify the typical faults of nuclear power equipment.
Keywords:nuclear power equipment  state monitoring  neural network  fault diagnosis
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