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

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

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  • Received Date: January 12, 2016
  • Available Online: February 10, 2023
© 2016 The Authors. Published by Editorial Office of Chinese Journal of Ship Research. Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 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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