基于HMM与AIS混合模型的核动力设备故障诊断系统开发

【作者】 陈丽萍；

【导师】 佘莉； 戈玉华；

【作者基本信息】 电子科技大学 ， 软件工程， 2009， 硕士

【摘要】 本文以国防基础科研项目“核动力关键设备动态检测与故障分析技术研究”(项目编号:B0120060585)为基础,针对核动力设备具有系统复杂、可靠性要求极高、所积累的资料与故障样本少等特点,引入隐马尔可夫模型与人工免疫系统作为基本建模和识别工具,综合两者的优点,进行核动力设备状态监测与故障诊断,应用Visual C++开发出相应的核动力设备故障诊断系统。后期进行的大量实验验证了所开发系统的有效性、鲁棒性以及预报的实时性。本文主要研究内容如下:第一章介绍了课题的研究背景和核动力设备故障诊断研究的意义,对核动力设备故障诊断技术的研究现状进行了概括,介绍了论文的特色与创新;最后给出了本论文的主要研究内容,并给出了论文的总体框架。第二章对HMM和AIS的基本理论做了介绍,着重介绍了HMM和AIS的几种基本算法。研究了HMM和AIS在核动力设备故障诊断中的应用,并提出了一种改进的AIS算法。第三章在介绍基于HMM与AIS的核动力设备故障诊断系统架构的基础上,应用Visual C++开发了基于HMM与AIS混合模型的核动力设备故障诊断系统,并对系统软件结构和功能模块以及软件设计时的一些关键技术进行了说明。第四章通过实验对所开发的基于HMM与AIS的核动力设备故障诊断系统进行了验证,介绍了实验所用的装置及仪器,给出了具体的实验方案和一些典型的实验结果,并对实验结果进行了分析。第五章总结了全文的研究成果,并对今后的工作提出了展望。本项研究对于促进核动力设备状态监测与故障诊断技术的进步,对于保证核动力设备安全可靠地运行、提高国防战斗力都具有重要的理论意义和实际应用价值。更多还原

【Abstract】 Nuclear-powered system is a complicated system, which only accumulated less data and fault samples. In view of these characteristics, the Hidden Markov Models (HMMs) and Artificial Immune System (AIS), as the basic modeling and recognizing tools in this thesis, are introduced to implement condition monitoring and fault diagnosis technologies for key equipment of nuclear power system, based on the“Research on Condition Monitoring and Fault Diagnosis Technologies for Key Equipment of Nuclear Power System”(National Defense Basic Science Fund Project, No. B0120060585). Fault diagnosis software for key equipment of nuclear power system has been developed with Visual C++. The experiments testified the validation of the software, the robust of the system, real time forecasting. The main contents in this thesis includes:Chapter one briefly introduced the meaning of studying the faults diagnosis technologies in nuclear power plant and summarized the developing and the current situations of it. Finally, given the research substance of this dissertation basing on this National Defense Basic Science Fund Project, and proposed the total frame and innovations of this dissertation.Chapter two introduces the basic theories and algorithms of HMM and AIS in detail. The application methods for faults diagnosis of nuclear power equipment based HMM/AIS are given. Finally, a new algorithm by improving basic AIS algorithm is presented.Chapter three introduces the fault diagnosis system of nuclear power equipment based on HMM and AIS. Visual C++ is used to develop this fault diagnosis software. Chapter four proposes experimental methods, and verifies the effect of this faults diagnosis system. The experiments are carried out on IS50-32-200 centrifugal pump. Chapter five sums up the main achievements and innovation in this thesis, and presents prospect.This research can promote the progress of condition monitoring and fault diagnosis technologies, has important theoretical and practical value in guaranteeing the nuclear power system’s safe and reliable operations and increasing the combat effectiveness of the national defence.更多还原