李刚, 谷思宇, 贾东卓, 闫斌斌. 一种输气管道燃气轮机的综合故障诊断方法[J]. 油气储运, 2019, 38(5): 568-573. DOI: 10.6047/j.issn.1000-8241.2019.05.013
引用本文: 李刚, 谷思宇, 贾东卓, 闫斌斌. 一种输气管道燃气轮机的综合故障诊断方法[J]. 油气储运, 2019, 38(5): 568-573. DOI: 10.6047/j.issn.1000-8241.2019.05.013
LI Gang, GU Siyu, JIA Dongzhuo, YAN Binbin. A comprehensive fault diagnosis method used for the gas turbines in gas pipelines[J]. Oil & Gas Storage and Transportation, 2019, 38(5): 568-573. DOI: 10.6047/j.issn.1000-8241.2019.05.013
Citation: LI Gang, GU Siyu, JIA Dongzhuo, YAN Binbin. A comprehensive fault diagnosis method used for the gas turbines in gas pipelines[J]. Oil & Gas Storage and Transportation, 2019, 38(5): 568-573. DOI: 10.6047/j.issn.1000-8241.2019.05.013

一种输气管道燃气轮机的综合故障诊断方法

A comprehensive fault diagnosis method used for the gas turbines in gas pipelines

  • 摘要: 基于单一参数的诊断方法无法准确高效地判断燃气轮机的故障状态,故提出了基于燃气轮机振动故障机理和性能故障机理的综合诊断方法。以中国石油西气东输一线某压气站燃驱离心压缩机组LM2500+SAC型燃气轮机运行过程出现异常振动为例,借助在线监测系统数据,基于振动和性能故障机理进行综合诊断,逐项排查异常振动的诱导因素,最终确定燃气轮机异常振动的激励源是轴承旋转封严损坏引起的不平衡量。由此避免了机组继续运行可能造成的严重后果,验证了该综合诊断方法的有效性,为类似故障的监测诊断提供了参考。

     

    Abstract: Fault diagnosis method based on single parameter cannot judge the fault states of gas turbines accurately and efficiently, so the comprehensive diagnosis method based on vibration fault mechanism and performance fault mechanism was proposed. Abnormal vibration occured during the operation of LM2500+SAC gas turbine of the gas-driven centrifugal compressor set in one compressor station of the 1st West-to-East Gas Pipeline of PetroChina. In this paper, the condition monitoring data were analyzed according to the mechanisms of vibration fault and performance fault of gas turbine. Then, the factors inducing the abnormal vibration were checked one by one. And it is ultimately determined that the excitation source to the abnormal vibration of gas turbine is the unbalance caused by the damage of bearing rotating sealing. The serious consequence may be caused by the continuous operation of the failed compressor set was avoided. It is verified that the comprehensive diagnosis method is effective and it can be used as the reference for the monitoring and diagnosis of similar faults.

     

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