刘倩, 张扬, 徐新华, 谢军龙, 王飞飞. 基于压力敏感性分析的集中冷却系统泄漏诊断[J]. 中国舰船研究, 2016, 11(5): 128-133. DOI: 10.3969/j.issn.1673-3185.2016.05.019
引用本文: 刘倩, 张扬, 徐新华, 谢军龙, 王飞飞. 基于压力敏感性分析的集中冷却系统泄漏诊断[J]. 中国舰船研究, 2016, 11(5): 128-133. DOI: 10.3969/j.issn.1673-3185.2016.05.019
LIU Qian, ZHANG Yang, XU Xinhua, XIE Junlong, WANG Feifei. Pressure sensitivity analysis-based leakage diagnosis of centralized refrigerant system for electronic devices[J]. Chinese Journal of Ship Research, 2016, 11(5): 128-133. DOI: 10.3969/j.issn.1673-3185.2016.05.019
Citation: LIU Qian, ZHANG Yang, XU Xinhua, XIE Junlong, WANG Feifei. Pressure sensitivity analysis-based leakage diagnosis of centralized refrigerant system for electronic devices[J]. Chinese Journal of Ship Research, 2016, 11(5): 128-133. DOI: 10.3969/j.issn.1673-3185.2016.05.019

基于压力敏感性分析的集中冷却系统泄漏诊断

Pressure sensitivity analysis-based leakage diagnosis of centralized refrigerant system for electronic devices

  • 摘要: 针对舰船电子集中冷却系统管网的泄漏故障对系统安全持续运行会造成危害的情况,提出一种应用压力敏感性分析法进行泄漏诊断的方法。采用FlowMaster建立一个电子集中冷却系统管网水力模型,并根据管网实测水力特性进行模型标定,利用该模型模拟管网正常运行及泄漏条件下的运行参数,获得不同泄漏故障方案下的相关性系数表,获取管网不同泄漏故障方案的敏感性矩阵,并采用相关性函数法对实测余差向量与敏感性矩阵进行相关性分析,得到故障分析相关性系数表。研究表明:相关性系数值越大时,对应的泄漏故障方案泄漏点出现泄漏的可能性越大。利用所建立的模型和诊断方法进行了泄漏诊断分析,诊断结果与管网实际泄漏点吻合。

     

    Abstract: A method based on pressure sensitivity analysis is proposed for the leakage diagnosis of a centralized refrigerant system for electronic devices, as leakages may affect the operational safety of the system. A pipe network model of a real centralized refrigerant system for electronic devices is established in the FlowMaster platform, and calibrated according to the actual hydraulic characteristics of the pipe network based on measurements. The model is used to simulate system operation when leakage is absent and present respectively. In addition, the correlation coefficient table under various leakage schemes is calculated when leakage occurs. The sensitivity matrix of various leakage schemes is obtained, and then the correlation coefficient table for leakage analysis can be obtained by comparing the sensitivity matrix with the measured residuals when leakage occurs. The larger the correlation coefficient value, the higher the possibility that the leakage point exists coincident to the leakage scheme. Finally, the leakage is diagnosed using the established model and proposed leakage diagnosis method. The results show that the diagnosed leakage point agrees well with the actual leakage point.

     

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