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Development Of Intelligent Recognization Module For Event Trees Analysis In RiskA

Posted on:2009-03-18Degree:MasterType:Thesis
Country:ChinaCandidate:R YuanFull Text:PDF
GTID:2178360245471852Subject:Curriculum and pedagogy
Abstract/Summary:PDF Full Text Request
Foreign PSA software, say, RiskSpectrum, is widely used in China. RiskA, a self-owned large probabilistic and reliable analysis system, has been developed by FDS Team which consists of several research units. It can be applied to nuclear industry, aerospace fields and so on.Recently, intelligent recognization techniques for event tree analysis models has become more and more popular in PSA software study. Fault tree models from SETS, RiskSpectrum and CAFTA can already be recognized by RiskA. In order to enhance its flexibility, intelligent recognization module has been developed on RiskA platform by a long and arduous research of RiskSpectrum and RiskA's storage strategys. Abide by Objected Orientated Program Design Method, this module can convert Risk Spectrum's models into RiskA's automatically, and analysts can perform various analyses on the converted model, and make outputs of different forms.By virtue of Event Tree Recognizing Module, the event tree models of RiskSpectrum can be analyzed in RiskA, so its reliability can be confirmed. As for RiskA's users, practical event tree models can be rebuilt by the existing models of RiskSpectrum quickly, and with less defects.
Keywords/Search Tags:Probabilistic Safety Analyses, Nuclear plants, Event tree model, Intelligent recognization, Reliability
PDF Full Text Request
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