流体机械

2018, v.46;No.557(11) 1-7

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往复压缩机气阀泄漏故障试验模拟与诊断分析
Simulation Test and Diagnostic Analysis of Gas Leakage Fault of Reciprocating Compressor Valve

舒悦;张谦;王乐;谢传东;王瑶;孙旭;
SHU Yue;ZHANG Qian;WANG Le;XIE Chuan-dong;WANG Yao;Sun Xu;State Key Laboratory of Compressor Technology, Hefei General Machinery Research Institute Co.,Ltd.;Hefei General Environment Control Technology Co.,Ltd.;Beijing Key Laboratory of Health Monitoring Control and Fault Self-Recovery for High-end Machinery,Beijing University of Chemical Technology;

摘要(Abstract):

气阀是往复压缩机最容易出故障的部件,因高频开启关闭、受力情况复杂时常导致泄漏等故障的发生,对机组高效、稳定运行产生不利影响。针对往复压缩机气阀泄漏故障,通过建模仿真获得气阀泄漏理论数据,掌握故障早期特征变化规律;基于试验台故障模拟试验,融合压力、温度数据分析故障特征,验证理论仿真结论;最后提出了一种融合多参数实现气阀泄漏故障分析诊断方法。研究成果为实际往复压缩机故障报警限值的确定和自动诊断提供了支持。
The gas valve is the most vulnerable part of the reciprocating compressor.Frequent opening and closing and the complex force conditions often lead to leakage and other faults,which poses adverse effect on the efficient and stable operation of the unit. For the leakage fault of the reciprocating compressor valve,the theoretical data of valve leakage was obtained through modeling and simulation,and the change rules of early fault were mastered. The characteristics of the fault were analyzed based on the fault simulation test on the test rig and in combination with pressure and temperature data to verify the theoretical simulation conclusion. Finally,a method of fault analysis and diagnosis of the valve that incorporates multiple parameters was proposed. The research results in this paper provided support for determination and automatic diagnosis of the fault alarm limit of actual reciprocating compressor.

关键词(KeyWords): 往复压缩机;气阀漏气;故障诊断
reciprocating compressor;gas valve;leakage fault;fault diagnosis

Abstract:

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基金项目(Foundation): 国家重点研发计划项目(2016YFF0203300);; 合肥通用机械研究院青年科技基金项目(2016010472)

作者(Author): 舒悦;张谦;王乐;谢传东;王瑶;孙旭;
SHU Yue;ZHANG Qian;WANG Le;XIE Chuan-dong;WANG Yao;Sun Xu;State Key Laboratory of Compressor Technology, Hefei General Machinery Research Institute Co.,Ltd.;Hefei General Environment Control Technology Co.,Ltd.;Beijing Key Laboratory of Health Monitoring Control and Fault Self-Recovery for High-end Machinery,Beijing University of Chemical Technology;

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