Application Research of Fault Diagnosis in Conventional Island of Nuclear Power Plant Based on Support Vector Machine

机译：支持向量机在核电站常规岛故障诊断中的应用研究

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From the historical data of pump device in conventional island of a certain nuclear power plant, the dataset used for machine learning is selected and established by whether the device is fault. Then the dataset is divided into the training set and the test set. Relying on the powerful machine learning library of Python language, the support vector machine model is constructed by programming. After selecting the appropriate kernel function and hyperparameters, the fault diagnosis accuracy of the support vector machine model on the test set reaches a high level. The generalization ability of the model is strong, which proves the model can be used as an auxiliary means for the fault diagnosis in conventional island of nuclear power plant.

机译：从某核电厂常规岛上泵装置的历史数据中，根据装置是否故障，选择并建立了用于机器学习的数据集。然后将数据集分为训练集和测试集。依靠强大的Python语言机器学习库，通过编程来构建支持向量机模型。选择合适的核函数和超参数后，测试集上支持向量机模型的故障诊断准确性达到了很高的水平。该模型的泛化能力强，证明该模型可作为常规核电站岛故障诊断的辅助手段。

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《International symposium on software reliability, industrial safety, cyber security and physical protection of nuclear power plant》|2019年|304-312|共9页
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Heng Li; Nian-Wu Lan; Xin-nian Huang;
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Support vector machine; Machine learning; Nuclear power plant conventional island; Fault diagnosis;

机译：支持向量机;机器学习;核电站常规岛;故障诊断;

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1. A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants [J] . Wang Hang, Peng Min-jun, Hines J. Wesley, ISA Transactions . 2019,第期

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2. Diagnosis of Power Transformer Faults Based on Multi-layer Support Vector Machine Hybridized with Optimization Methods [J] . Selim Koroglu, Akif Demircali Electric Power Components and Systems . 2016,第16a20期

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3. Intelligent Fault Diagnosis in Power Plant Using Empirical Mode Decomposition, Fuzzy Feature Extraction and Support Vector Machines [J] . Qiao Hu, Zhengjia He, Yanyang Zi, Key Engineering Materials . 2005,第期

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4. Application Research of Fault Diagnosis in Conventional Island of Nuclear Power Plant Based on Support Vector Machine [C] . Heng Li, Nian-Wu Lan, Xin-nian Huang International symposium on software reliability, industrial safety, cyber security and physical protection of nuclear power plant . 2020

机译：基于支持向量机的核电厂故障诊断应用研究
5. A new methodology based on fuzzy set theory and fault tree analysis for failure diagnosis in nuclear power plants. [D] . Abdelhai, Mohamed Ibrahim. 1993

机译：基于模糊集理论和故障树分析的核电站故障诊断新方法。
6. A Personalized Diagnosis Method to Detect Faults in a Bearing Based on Acceleration Sensors and an FEM Simulation Driving Support Vector Machine [O] . Xiaoyang Liu, Haizhou Huang, Jiawei Xiang 2020

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7. Application of support vector machines for fault diagnosis in power transmission system [O] . Ravikumar B, Thukaram D, Khincha HP 2008

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8. Sensor fault detection in nuclear power plants using multivariate stateestimation technique and support vector machines [R] . Zavaljevski, N., Gross, K. C. 2000

机译：利用多变量状态估计技术和支持向量机检测核电厂传感器故障

Application Research of Fault Diagnosis in Conventional Island of Nuclear Power Plant Based on Support Vector Machine

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