| 熊伟,马豪,张波,龙俨丽,尹爱军.PCA和SDG融合的天然气脱水装置故障诊断[J].装备环境工程,2021,18(9):107-113. XIONG Wei,MA Hao,ZHANG Bo,LONG Yan-li,YIN Ai-jun.Fault Diagnosis for Natural Gas Dehydration Device Based on the Combination of PCA and SDG[J].Equipment Environmental Engineering,2021,18(9):107-113. |
| PCA和SDG融合的天然气脱水装置故障诊断 |
| Fault Diagnosis for Natural Gas Dehydration Device Based on the Combination of PCA and SDG |
| 投稿时间：2021-04-16 修订日期：2021-06-04 |
| DOI：10.7643/issn.1672-9242.2021.09.016 |
| 中文关键词: 脱水装置 故障诊断 PCA SDG |
| 英文关键词:dehydration device fault diagnosis PCA SDG |
| 基金项目:重庆市科技重大主题专项重点研发项目(cstc2018jszx-cyztzxX0032) |
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| Author | Institution |
| XIONG Wei | Chongqing Gas Mine of Southwest Oil and Gas Branch, PCL Chongqing 400021, China |
| MA Hao | School of Mechanical Engineering, Chongqing University, Chongqing 400044, China |
| ZHANG Bo | Chongqing Gas Mine of Southwest Oil and Gas Branch, PCL Chongqing 400021, China |
| LONG Yan-li | Chongqing Gas Mine of Southwest Oil and Gas Branch, PCL Chongqing 400021, China |
| YIN Ai-jun | School of Mechanical Engineering, Chongqing University, Chongqing 400044, China |
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| 中文摘要: |
| 目的 快速定位天然气脱水装置的故障源。方法 对反映脱水系统运行状态的众多监测参数进行主成分分析，从而识别其中的异常参数。结合脱水工艺流程图，对所有参数及潜在设备故障进行因果分析，以建立脱水装置整体的SDG模型，将各异常参数的符号代入到该模型，按照双向推理规则最终确定造成这些参数异常的故障源。结果 通过主成分分析构造的SPE和T2统计量在脱水装置正常运行的时间段分别保持在低于20和141的控制限范围内，出现故障时两者几乎同时急剧增大，随后一直在远高于控制限的区间上波动。用贡献图法识别出的该故障的主导参数有三甘醇循环量、重沸器温度和缓冲罐液位。结论 将PCA与SDG相结合能够综合两种方法各自的优点，提高石化装备检维修的效率，保障设备的可靠运行。 |
| 英文摘要: |
| The paper aims to quickly locate the fault source of the natural gas dehydration device. Principal component analysis was performed on the monitoring parameters that reflected the running state of the dehydration system so as to identify the abnormal parameters. Combined with the dehydration process flow chart, the causal analysis of all parameters and potential fault sources was carried out to establish the overall SDG model of the dehydration device. The symbols of each abnormal parameter were substituted into the model, and the equipment faults that caused these parameters were determined according to the two-way reasoning rule. The SPE and T2 statistics constructed by principal component analysis remained within the control limits of 20 and 141 during normal operation of the device, and both increased sharply at the same time when a fault occurred, and then fluctuated in a range well above the control limit. The main fault parameters identified by the contribution diagram method were TEG circulation, reboiler temperature and buffer tank level. The combination of PCA and SDG can integrate the advantages of the two methods, improve the efficiency of petrochemical equipment inspection and maintenance, and ensure the reliable operation of the equipment. |
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