DSmT的主冷却剂泵并发故障融合方法分析
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作者单位:

(1.哈尔滨工程大学 工程训练中心, 150001 哈尔滨; 2.哈尔滨工程大学 核安全与仿真技术国防重点学科实验室, 150001 哈尔滨)

作者简介:

郭清(1978—),女,博士研究生; 夏虹(1962—),女,教授,博士生导师.

通讯作者:

郭清, guoqing@hrbeu.edu.cn.

中图分类号:

TL99

基金项目:

国家自然科学基金资助项目(51379046).


Concurrent fault information fusion methods of main coolant pump based on DSmT
Author:
Affiliation:

(1. Engineering Training Center, Harbin Engineering University, 150001 Harbin, China; 2. National Defense Key Subject Laboratory for Nuclear Safety and Simulation Technology, Harbin Engineering University, 150001 Harbin, China)

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    摘要:

    针对核电站主冷却剂泵故障特征微弱难以有效辨识及DST仅能解决在无高冲突辨识框架下的单一故障诊断等问题,提出一种基于DSmT决策级主冷却剂泵并发故障融合诊断模型.采用核主泵自由DSm模型和混合DSm模型对含有故障信息的多个独立证据源进行动态融合计算;分析核主泵DSmT故障特征信度赋值变化,确定主冷却剂泵故障(并发故障)诊断总决策. 结果表明, 将核仿真机采集TS、SS、VS和DS多源传感器数据直接对基本概率函数进行赋值,得出主冷却剂泵故障(并发故障)决策结果与实际工况相符,实例验证了所提方法的可行性、有效性及准确性.

    Abstract:

    Aiming at the problems that the faults of NPP’s main coolant pump are difficult to recognize effectively during their early phases, and that DST can only solve single fault diagnosis in the identification framework without serious conflict, this paper proposes a diagnosis model for main coolant pump’s concurrent fault fusion in early phases, based on DSmT. Taking advantage of DSmT, multiple independent proofs are used to conduct fusion decision, and obtain the results of main pump fault and concurrent fault diagnosis. On the simulation machine of nuclear power plant, main coolant pump was simulated and verified, and the results show that this method can improve the accuracy of recognition of main pump’s current faults during early phases, and reduce the uncertainty of the diagnosis.

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郭清,夏虹,韩文伟. DSmT的主冷却剂泵并发故障融合方法分析[J].哈尔滨工业大学学报,2014,46(9):111. DOI:10.11918/j. issn.0367-6234.2014.09.019

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  • 收稿日期:2014-03-12
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  • 在线发布日期: 2014-09-30
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