Modeling and Fault Diagnosis of Pressurizer Based on Bond Graph

Zhuoran Zhou, M. Peng, Hang Wang, Yingying Jiang
{"title":"Modeling and Fault Diagnosis of Pressurizer Based on Bond Graph","authors":"Zhuoran Zhou, M. Peng, Hang Wang, Yingying Jiang","doi":"10.1115/icone29-93053","DOIUrl":null,"url":null,"abstract":"\n The bond graph can be used to simulate and model conservation processes in different energy domains. In this paper, based on bond graph, the pressurizer was modeled and diagnosed at full power. Two parameters of pressure and mass flow were selected. Firstly, the bond graph of pressurizer was established. The pressurizer was divided into three zones: the fluctuating zone, the saturated liquid zone and the gaseous zone. The conservation equations of mass and energy were given respectively for these three regions. Secondly, the conservation equations of mass and energy were combined with the conservation of volume, and the model was constructed according to the combination rules. Then, according to the established bond graph model, the time causality diagram was established to determine the influence relationship between the coefficients and listed the fault characteristic matrix. Meanwhile, the reasoning structure between the coefficient was realized by the expert system G2. Finally, the fault data simulated by simulator was imported into the bond graph model. The failure of the safety valve, the spray valve and the immersion type heater were introduced to verify the modeling and diagnosis effect. It concludes that the diagnosis effect is consistent with the imported fault. Compared with the data-driven method, the bond graph method is more reliable, and compared with the expert knowledge method, the bond graph method can diagnose unknown faults and has a wide range of applications. In addition, a new method for nuclear power plant simulation modeling was provided. This was a new attempt to model bond graphs outside the research of mechanic, electronic and hydraulic.","PeriodicalId":302303,"journal":{"name":"Volume 15: Student Paper Competition","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 15: Student Paper Competition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/icone29-93053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The bond graph can be used to simulate and model conservation processes in different energy domains. In this paper, based on bond graph, the pressurizer was modeled and diagnosed at full power. Two parameters of pressure and mass flow were selected. Firstly, the bond graph of pressurizer was established. The pressurizer was divided into three zones: the fluctuating zone, the saturated liquid zone and the gaseous zone. The conservation equations of mass and energy were given respectively for these three regions. Secondly, the conservation equations of mass and energy were combined with the conservation of volume, and the model was constructed according to the combination rules. Then, according to the established bond graph model, the time causality diagram was established to determine the influence relationship between the coefficients and listed the fault characteristic matrix. Meanwhile, the reasoning structure between the coefficient was realized by the expert system G2. Finally, the fault data simulated by simulator was imported into the bond graph model. The failure of the safety valve, the spray valve and the immersion type heater were introduced to verify the modeling and diagnosis effect. It concludes that the diagnosis effect is consistent with the imported fault. Compared with the data-driven method, the bond graph method is more reliable, and compared with the expert knowledge method, the bond graph method can diagnose unknown faults and has a wide range of applications. In addition, a new method for nuclear power plant simulation modeling was provided. This was a new attempt to model bond graphs outside the research of mechanic, electronic and hydraulic.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于键合图的稳压器建模与故障诊断
键合图可以用来模拟和模拟不同能量域的守恒过程。本文在键合图的基础上,对增压器进行了全功率建模和诊断。选取了压力和质量流量两个参数。首先,建立了稳压器的键合图。稳压器分为三个区域:波动区、饱和液体区和气态区。分别给出了这三个区域的质量守恒方程和能量守恒方程。其次,将质量守恒方程和能量守恒方程与体积守恒方程相结合,并根据结合规则建立模型;然后,根据建立的键合图模型,建立时间因果图,确定各系数之间的影响关系,列出故障特征矩阵。同时,利用专家系统G2实现了各系数之间的推理结构。最后,将仿真器模拟的故障数据导入键合图模型。以安全阀、喷淋阀和浸没式加热器的故障为例,验证了建模和诊断的效果。结果表明,该方法的诊断效果与输入故障基本一致。与数据驱动方法相比,键合图方法更加可靠;与专家知识方法相比,键合图方法能够诊断未知故障,具有广泛的应用前景。为核电厂的仿真建模提供了一种新的方法。这是在机械、电子和液压研究之外建立键合图模型的一种新尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on Generalization of Typical Data-Driven Fault Diagnosis Methods for Nuclear Power Plants Heat Transfer Characteristics of Different Horizontal Wires in Pools of Liquid and Supercritical Carbon Dioxide Specifics of Calculating Thermophysical Properties of CO2 and R134a in Critical Point Using NIST REFPROP Radiation Shielding Towards Commonly Available Objects Preliminary Core Calculation on Reactivity Compensation for SiC Matrix Fuel Compact HTTR With Erbium Burnable Poison and Plutonium Fissile Material
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1