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Research For Complex System Safety Monitoring And Diagnosing Method Based On Multi-Source Information Fusion

Posted on:2011-01-02Degree:MasterType:Thesis
Country:ChinaCandidate:N LiFull Text:PDF
GTID:2178360308481005Subject:Biomedical engineering
Abstract/Summary:PDF Full Text Request
Complex systems, such as resource, environment, ecology and great engineering, have come forth many safety problems, which seriously threaten the subsistence and development of human being. So it is an important and significant problem that how to monitor and diagnose the safety of complex system. In this paper, based on multi-source information fusion and combined two complications about power transmission system and hydropower station dam safety monitoring, an information fusion functional model, which is suitable for complex systems safety monitoring and diagnosing, has been established. Research on multi-source information fusion mechanism, intelligence diagnosing technology and safety monitoring system designing, for which can provide theory and technology for disaster prediction and preventive treatment to related departments.The achievements which have got are as follows:(1)Practicing in the hydropower station dam displacement monitoring, an algorithm based on BP neural network is presented. Comparing with the existing outlier identifying algorithm, this algorithm take the advantage of the mechanism model of the dam monitoring data conformation, and fuse many data from sensors,it can identify outlier and mutation exist in unusual data and can well identify both patch-type outliers and isolated outliers.(2)Practicing in the power transmission lines system monitoring, an algorithm based on Kohonen Self-Organizing Map is presented to extract the disaster features of the complex system. In feature fusion level, for power transmission lines icing and its increasing, the extract of the feature is achieved. The results are helpful for using meteorology features to estimate the safety situation of the power transmission lines system in decision-making level.(3)On the background of developing a dam safety monitoring system, aiming at small-or-medium reservoirs safety monitoring feature and demands , adjust the traditional structure of software system which apply to the dam safety monitoring and design the safety monitoring system which is suitable for the small-or-medium reservoirs. Adjusting the software system makes the system development cycle short and cost decreased and it's more suitable for small-or-medium reservoirs safety monitoring.
Keywords/Search Tags:Complex System, Safety Monitoring, Safety Diagnosis, Multi-Source Information Fusion, Intelligent Computing
PDF Full Text Request
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