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학술저널
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한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제46권 제6호
발행연도
2014.1
수록면
725 - 736 (12page)

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It is very important to detect and identify small anomalies and component failures for the safe operation of complexand large-scale artifacts such as nuclear power plants. Each diagnostic technique has its own advantages and limitations. These facts inspire us not only to enhance the capability of diagnostic techniques but also to integrate the results ofdiagnostic subsystems in order to obtain more accurate diagnostic results. The article describes the outline of fourdiagnostic techniques developed for the condition monitoring of the fast breeder reactor “Monju”. The techniques are (1)estimation technique of important state variables based on a physical model of the component, (2) a state identificationtechnique by non-linear discrimination function applying SVM (Support Vector Machine), (3) a diagnostic techniqueapplying WT (Wavelet Transformation) to detect changes in the characteristics of measurement signals, and (4) a stateidentification technique effectively using past cases. In addition, a hybrid diagnostic system in which a final diagnosticresult is given by integrating the results from subsystems is introduced, where two sets of values called confidence valuesand trust values are used. A technique to determine the trust value is investigated under the condition that the confidencevalue is determined by each subsystem.

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