Nuclear power plant components condition monitoring by probabilistic support vector machine

Jie Liu; Redouane Seraoui; Valeria Vitelli; Enrico Zio

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Nuclear power plant components condition monitoring by probabilistic support vector machine

机译：概率支持向量机在核电站部件状态监测中的应用

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In this paper, an approach for the prediction of the condition of Nuclear Power Plant (NPP) components is proposed, for the purposes of condition monitoring. It builds on a modified version of the Probabilistic Support Vector Regression (PSVR) method, which is based on the Bayesian probabilistic paradigm with a Gaussian prior. Specific techniques are introduced for the tuning of the PSVR hyerparameters, the model identification and the uncertainty analysis. A real case study is considered, regarding the prediction of a drifting process parameter of a NPP component.

机译：在本文中，出于状态监视的目的，提出了一种预测核电站（NPP）组件状态的方法。它基于概率支持向量回归（PSVR）方法的修改版本，该方法基于具有高斯先验的贝叶斯概率范例。引入了特定技术来调整PSVR超参数，模型识别和不确定性分析。考虑到有关NPP组件的漂移过程参数的预测的实际案例研究。

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来源
《Annals of nuclear energy》 |2013年第6期|123-33|共91页
作者
Jie Liu; Redouane Seraoui; Valeria Vitelli; Enrico Zio;
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作者单位

Chair on Systems Science and the Energetic challenge, European Foundation for New Energy-tlectricitt de France, Ecole Centrale Paris, Chatenay-Malabry, France Supelec (Ecole Superieure d'Electricite), Plateau de Moulon, Cif-sur-Yvette, France;

EDF R&D, Simulation and information TEchnologies for Power generation System (STEPS) Department, Chatou, France;

Chair on Systems Science and the Energetic challenge, European Foundation for New Energy-tlectricitt de France, Ecole Centrale Paris, Chatenay-Malabry, France Supelec (Ecole Superieure d'Electricite), Plateau de Moulon, Cif-sur-Yvette, France;

Chair on Systems Science and the Energetic challenge, European Foundation for New Energy-tlectricitt de France, Ecole Centrale Paris, Chatenay-Malabry, France Supelec (Ecole Superieure d'Electricite), Plateau de Moulon, Cif-sur-Yvette, France Energy Department, Politecnico di Milano, Milano, Italy;

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正文语种 eng
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关键词
probabilistic support vector machine; condition monitoring; nuclear power plant; point prediction;

机译：概率支持向量机状态监测;核电站;点预测;

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7. Nuclear power plant components condition monitoring by probabilistic support vector machine [O] . Jie Liu, Redouane Seraoui, Valeria Vitelli, 2013

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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

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Nuclear power plant components condition monitoring by probabilistic support vector machine

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