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作 者:韩先尧 王宁[1] 申青蓉 李慧 李颖[1] 孙巍[1] HAN Xian-yao;WANG Ning;SHEN Qing-rong;LI Hui;LI Ying;SUN Wei(College of Chemical Engineering,Beijing University of Chemical Technology,Beijing 100029,China;Shanghai SupeZET Engineering Technology Co.,Ltd.,Shanghai 200050,China)
机构地区:[1]北京化工大学化学工程学院,北京100029 [2]上海卓然工程技术有限公司,上海200050
出 处:《控制工程》2021年第10期1917-1922,共6页Control Engineering of China
摘 要:乙烯裂解炉是乙烯装置中最关键的核心设备单元,对保障其运行的安全性及稳定性尤为重要。因此,对其进行过程监测及故障诊断具有非常重要的意义。主元分析法(PCA)在过程监测与故障诊断中被广泛应用,T2贡献图是其故障诊断的主要依据,但由于控制系统对过程偏离的迅速响应,基于贡献图的故障诊断分析结果也会相应改变,致使真实的故障原因被掩盖。针对乙烯裂解炉运行系统,基于T2贡献值曲线,对监测超限样本中各个变量的T2贡献值进行累计计算分析,实现了对引起乙烯裂解炉故障原因的正确识别,该方法得到某石油化工厂实际工业生产的DCS数据和对应生产记录的验证。The ethylene cracking furnace is the most important ethylene production unit. It’s particularly important to ensure the safety and stability of ethylene cracking furnace operation. Therefore, the realization of ethylene cracking furnace process monitoring and fault diagnosis is meaningful. Principal component analysis(PCA) method has been widely applied in process monitoring and fault diagnosis. T;contribution plot is the main basis for fault diagnosis. However, due to the rapid response of control system to process deviation, fault diagnosis results based on contribution plot are accordingly changed, which makes the root cause of failure to be covered up. For ethylene cracking furnace operation system, the accumulated T;contribution value for each variable is calculated for those sample points beyond control limit. Based on the accumulated T;plot, the root cause of fault can be effectively identified. The proposed method is tested by petrochemical plant industrial DCS data and corresponding production record.
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