METHODOLOGY OF NUCLEAR-REACTOR MONITORING AND DIAGNOSTICS USING INFORMATION DIMENSION APPLICATION TO POWER OSCILLATION

Reactor noise analysis method based on information dimension is applie d to the monitoring and diagnosing of power oscillation, The method fo cuses on the utilization of the slope of the correlation integral (SOC I) which determines the information dimension of attractors. For pract ical application, the information dimension is expected to be the same as the fractal dimension of attractors; it can be used to classify di fferent asymptotic regimes of nonlinear dynamical systems. We examined a real power oscillation using SOCI and the results implied that the oscillation was just a noisy limit cycle, although it is not possible to assert that there is no chaotic character in the oscillation becaus e large oscillatory time-series data sets are not available. In additi on, the application of SOCI to the real-time monitoring of power oscil lation is proposed and examined.