Whole system and estimation technique of overall heat transfer coefficient of evaporator and superheater

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 CBR (Case-Based Reasoning) agent using several attributes in both time and frequency domain. This paper describes the whole system and the estimation technique of overall heat transfer coefficient by simple physical models from 'Monju' process signals. (author)