Research on Status of Loss-of-Coolant Accident of Reactor Based on Manifold Learning

In order to improve the diagnosis performance of the types of Loss of Coolant Accident (LOCA), A diagnose model based on manifold Learning is built. As the manifold learning method using to reduce the observed parameters of reactors dimensions, the ANN is used to get dimension reducing mapping and modes classifying method. This method improves the ability of the model to identify as well as the robustness of it. The experiment results show that the systems diagnosis precision is high and the key parameters are analyzed efficiently.