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System Development, Nuclear Power Equipment Fault Diagnosis Based On The Hybrid Model In Hmm With Ais

Posted on:2010-02-17Degree:MasterType:Thesis
Country:ChinaCandidate:L P ChenFull Text:PDF
GTID:2208360275482741Subject:Software engineering
Abstract/Summary:PDF Full Text Request
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.
Keywords/Search Tags:Nuclear Power Equipment, Hidden Markov Model(HMM), Artificial Immune System(AIS), Fault Diagnosis System
PDF Full Text Request
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