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燃驱压缩机组气路故障预测诊断与健康管理技术 被引量:7

Prognostics health management technology of gas path in turbinedriven compressor set
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摘要 在管道行业中,燃驱压缩机组的健康状态不仅有利于企业稳定、科学、高效地运营,而且可保证管道输送安全、减少运行成本。参考并借鉴国内外相似平台的优点与成功经验,采取科学有效的手段,为建立燃驱压缩机组气路故障预测诊断与健康管理(PHM)系统,开展了以下研究:使用模块化建模的方法建立气路性能分析模块,基于准确非线性机组模型的气路故障诊断算法进行气路故障诊断;提出一种模拟退火-粒子群优化(SA-PSO)混合算法进行故障诊断,该方法兼顾快速性、准确性;建立故障特征降级参数识别库,基于故障特征识别方法建立故障概率分析模型,得出量化的概率指标衡量气路部件的状态。实例应用结果表明:建立的燃驱压缩机组气路分析程序,实现了对燃气轮机运行状况的实时掌握,能够及时发现并诊断运行中出现的故障,具有较高的应用价值。 In the pipeline industry,the health status of turbine-driven compressor set is very critical to keep the stable,scientific and efficient operation of the company,to ensure the safe transportation,and to reduce the operating costs.Herein,with reference to the advantages and successful experiences of similar platforms at home and abroad,the following research was conducted with scientific and effective means to establish a prognostics health management(PHM)system of gas path in turbine-driven compressor set.Definitely,the performance analysis module of gas path was built through modular modeling,the fault diagnosis of the gas path was performed with the gas path fault diagnosis algorithm based on the accurate non-linear compressor model,and a hybrid algorithm of simulated annealing-particle swarm optimization(SA-PSO)was proposed for fault diagnosis,with the rapidity and accuracy considered simultaneously.In addition,a fault feature degraded parameter identification library was established,and a fault probability analysis model was built based on the fault feature recognition method to obtain the quantified probability indicators for the state measurement of gas path components.The application results show that the established gas path analysis program of turbine-driven compressor set could realize the real-time control of the operation status of gas turbine and timely find and diagnose the faults in operation,which has high application value.
作者 肖旺 陈成 杨坤 程遥遥 XIAO Wang;CHEN Cheng;YANG Kun;CHENG Yaoyao(PipeChina West Pipeline Company)
出处 《油气储运》 CAS 北大核心 2021年第6期699-707,共9页 Oil & Gas Storage and Transportation
基金 中国石油科研项目“燃驱机组预测及健康管理系统的研发”,XG-JCGL-CK-KJXX-01-JL-03/201502。
关键词 燃驱压缩机组 SA-PSO 气路故障诊断 健康管理 turbine-driven compressor set SA-PSO fault diagnosis of gas path health management
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