Modeling uncertainty of instrument and control system of nuclear power plant

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Modeling uncertainty of instrument and control system of nuclear power plant

机译：核电厂仪表与控制系统的不确定度建模

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The cause of inaccurate prediction of system dependability is the uncertainty associated with the modeling, which may lead to overestimation or underestimation of dependability metrics. The prediction of system abnormality or abnormal component of the system under uncertainty becomes a challenging issue and essential for control and safety-critical systems. To efficiently detect the abnormal component's causes of whole system failure, this paper proposes a Piping Possibilistic Timed Coloured Petri Net (PPTCPN) to model the uncertainty. The effectiveness of the proposed mechanism has been validated on 5 different safety critical and control systems of Nuclear Power Plant, and shown on a Digital Feedwater Control System (DFWCS) in this paper. (C) 2019 Elsevier Ltd. All rights reserved.

机译：系统可靠性预测不准确的原因是与建模相关的不确定性，这可能会导致可靠性指标的高估或低估。在不确定性下对系统异常或系统异常组件的预测成为具有挑战性的问题，对于控制和安全性至关重要的系统至关重要。为了有效地检测出导致整个系统故障的异常组件的原因，本文提出了一种管道可能的定时有色Petri网（PPTCPN）来对不确定性进行建模。该机制的有效性已在5个不同的核电厂安全关键和控制系统上得到验证，并在本文的数字给水控制系统（DFWCS）中得到了证明。（C）2019 Elsevier Ltd.保留所有权利。

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《Annals of nuclear energy》 |2020年第5期|107207.1-107207.19|共19页
作者

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Lovely Profess Univ Dept CSE Phagwara Punjab India;

BHU Indian Inst Technol Varanasi Uttar Pradesh India;

Lovely Profess Univ Phagwara Punjab India;

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正文语种 eng
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Uncertainty; Safety critical systems; Nuclear power plant; DFWCS;

机译：不确定;安全关键系统;核电站;DFWCS;

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专利

1. Dynamic Reliability Modeling of Digital Instrumentation and Control Systems in Nuclear Power Plants [J] . T. Aldemir, S. Guarro, J. Kirschenbaum, Transactions of the American nuclear society . 2009,第期

机译：核电厂数字仪表和控制系统的动态可靠性建模
2. Adaptive Power Transformer Lifetime Predictions Through Machine Learning and Uncertainty Modeling in Nuclear Power Plants [J] . Aizpurua Jose Ignacio, McArthur Stephen D. J., Stewart Brian G., IEEE Transactions on Industrial Electronics . 2019,第6期

机译：通过机器学习和不确定性模型对核电站进行自适应电力变压器寿命预测
3. Analyses of the Control System Strategies and Methodology for Part Power Control of the Simple and Intercooled Recuperated Brayton Helium Gas Turbine Cycles for Generation IV Nuclear Power Plants [J] . A. Gad-Briggs, P. Pilidis, T. Nikolaidis Journal of nuclear engineering and radiation science . 2017,第4期

机译：IV核电站简单和间隙恢复布雷顿氦气汽轮机循环零件功率控制的控制系统策略与方法分析
4. RELIABILITY ASSESSMENT OF INSTRUMENT AND CONTROL SYSTEMS OF NUCLEAR POWER PLANTS [C] . In-Koo Hwang, Kyung-Ho Cha, Dong-Young Lee, American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies . 2006

机译：核电站仪器和控制系统的可靠性评估
5. On-line adaptive robust control and model uncertainty validation for a nuclear power plant. [D] . Power, Michael Allen. 1996

机译：核电站的在线自适应鲁棒控制和模型不确定性验证。
6. Equivalent modeling of PMSG-based wind power plants considering LVRT capabilities: electromechanical transients in power systems [O] . Ming Ding, Qianlong Zhu -1

机译：考虑LVRT功能的基于PMSG的风力发电厂的等效建模：电力系统中的机电瞬变
7. Perfect Investment Decision-making Management System of the Operating Nuclear Power Plants ,Improve to Achieve Cost Control and Nuclear Safety Dialectical Unity — Based on the Daya Bay Nuclear Power Base Case [O] . 周泽明 2013

机译：完善在役核电厂投资决策管理系统，提高成本控制与核安全辩证统一性-基于大亚湾核电基地案例
8. Specification of requirements for upgrades using digital instrument and control systems. Report prepared within the framework of the international working group on nuclear power plant control and instrumentation [R] . 1999

机译：使用数字仪器和控制系统进行升级的要求规范。在核电厂控制和仪器仪表国际工作组框架内编写的报告

Modeling uncertainty of instrument and control system of nuclear power plant

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