Abstract Based on the angle and Euclidean distance similarity of the loading matrix, this paper reports on an improved principal component analysis (PCA) modeling method that is successfully applied to identify three different working conditions in the secondary loop of a nuclear power plant (NPP). First, a simulation platform of the secondary loop of the NPP is built in which three kinds of working conditions are set. Second, the multiple-PCA modeling method is used to construct the offline models. Finally, the effectiveness and superiority of the improved method is verified in the simulation platform.

中文翻译：

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基于改进多元PCA建模的核电站二回路工况识别

摘要 基于加载矩阵的角度和欧几里德距离相似性，本文报告了一种改进的主成分分析（PCA）建模方法，该方法成功应用于识别核电厂（NPP）二次回路中的三种不同工况。 . 首先，搭建了核电厂二回路仿真平台，设置了三种工况。其次，多PCA建模方法用于构建离线模型。最后在仿真平台上验证了改进方法的有效性和优越性。