An intelligent hybrid methodology of on-line system-level fault diagnosis for nuclear power plant

다국어 초록 (Multilingual Abstract)

To assist operators to properly assess the current situation of the plant, accurate fault diagnosis methodologyshould be available and used. A reliable fault diagnosis method is beneficial for the safety ofnuclear power plants. The major idea proposed in this work is integrating the merits of different faultdiagnosis methodologies to offset their obvious disadvantages and enhance the accuracy and credibilityof on-line fault diagnosis. This methodology uses the principle component analysis-based model andmulti-flow model to diagnose fault type. To ensure the accuracy of results from the multi-flow model, amechanical simulation model is implemented to do the quantitative calculation. More significantly,mechanism simulation is implemented to provide training data with fault signatures. Furthermore, oneof the distance formulas in similarity measurementdMahalanobis distancedis applied for on-line failuredegree evaluation. The performance of this methodology was evaluated by applying it to the reactorcoolant system of a pressurized water reactor. The results of simulation analysis show the effectivenessand accuracy of this methodology, leading to better confidence of it being integrated as a part of thecomputerized operator support system to assist operators in decision-making.

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