Motor-operated valve functions to block or connect the flow of fluid in nuclear power plant and especially safety-related valves are evaluated with operability margin calculations, that should have positive value in both open and close stroke. Although all actuators have inertia force which increase operating margin of valve closing stroke, inertia force, after control switch operation in actuator is not considered in evaluating operability margin calculation process. In this paper, the hidden margin by inertia force of each actuator model in closing stroke was studied quantitatively.

In this paper, we studied the applicability of data driven model, AAKR(Auto-Associative Kernel Regression) for generator power loss estimation. Correlation analysis performed on 39 turbine system variables for dataset construction and then 13 variables were selected as highly correlated with generator power output. For a memory vector, 95~100% thermal power section data were used and data at normal power condition for 3 month were extracted for query vector. Analysis result shows that 9 variables show good prediction between measured and estimated data, 2 variables show good correlation but with small bias and 2 variables show increasing difference and low correlation with the passage of time, which assumed to be cause of electric output loss.