制冷技术2024，Vol.44Issue(1)：45-51,7.DOI:10.3969/j.issn.2095-4468.2024.01.202
冷水机组数字孪生模型及故障诊断研究
Research on Digital Twin Model and Fault Diagnosis of Chiller
摘要
Abstract
In this paper,a fault diagnosis method of chiller based on digital twin is adopted to search the fault diagnosis strategy of refrigerant leakage,condenser water flow reduction,and evaporator water flow reduction faults in the chiller.The reliability of data generated by the joint modeling methods of physical modeling,empirical modeling and data-driven modeling and the improvement effect on fault diagnosis are analyzed,and the reliability of the proposed method is verified by experiments.The results show that:digital twin method can effectively solve the problem that the diagnostic ability of the FDD model decreases under the new operating point.After using the digital twin method,the maximum relative error of all thermal parameters of the system simulation model does not exceed 4%,and the accuracy,recall,and F1-score of the fault diagnosis model were increased by 9.7%,29.4%,and 16.6%,respectively.关键词
冷水机组/数字孪生/故障诊断Key words
Chiller/Digital twin/Fault diagnosis分类
化学化工引用本文复制引用
刘泽旭,张帅,朱旭,晋欣桥,杜志敏..冷水机组数字孪生模型及故障诊断研究[J].制冷技术,2024,44(1):45-51,7.基金项目
国家自然科学基金(No.51876119),浦江人才计划(No.17PJD017). （No.51876119）
