The objectives of the present study are to analyze plant transients caused by small abnormalities and to find plant parameters by which operators can recognize these small abnormalities. In order to evaluate the plant transient during an abnormal situation in the water system using the plant system code NETFLOW++, the turbine and feedwater systems should be analyzed with good precision. The code is validated using the measured data at “Monju”. Several abnormalities in the water system are candidates o...
英字タイトル:
Abnormality Transient Analysis of Monju using a Plant System Code

Abstract : A hybrid diagnostic agent system is developed to detect and identify early an anomaly that happens in the fast-breeder reactor “Monju”. The system outputs a diagnostic result by integrating the results of diagnosis by four diagnostic software agents. They are (1) an estimation agent of overall heat transfer coefficient of evaporator and superheater, (2) a state identification agent based on SVM (Support Vector Machine), (3) an anomaly detection agent by WT (Wavelet Transformation), and (4) a...
英字タイトル:
Whole System and Estimation Technique of Overall Heat Transfer Coefficient of Evaporator and Superheater

In the present study, early detection of anomaly and failure identification have been studied based on the signals simulated based on the real plant parameters. The specific feature of the present method is the use of similarity defined based on the multi-attributes of measured parameters. The frequency and time domain characteristics have been adopted as the attributes showing the symptom of failures. The five failure transients and four kinds of specific signal anomaly have been simulated and used as...
英字タイトル:
Anomaly Diagnosis based on Multi-attribute Similarity