闪蒸气压缩机组故障诊断系统研究

天津科技 ›› 2023, Vol. 50 ›› Issue (3): 23-30.

闪蒸气压缩机组故障诊断系统研究

邓欣¹, 庄继泽¹, 杨波¹, 牛志刚¹, 高强², 李大华²

1.中海油能源发展股份有限公司采油服务分公司天津 300452;
2.天津理工大学天津 300384

收稿日期:2023-03-08 出版日期:2023-03-25 发布日期:2023-12-27

Research on Fault Diagnosis System of Flash Steam Compressor Unit

DENG Xin¹, ZHUANG Jize¹, YANG Bo¹, NIU Zhigang¹, GAO Qiang², LI Dahua²

1. CNOOC Energy Technology & Services-Oil Production Services Co.,Tianjin 300452,China;
2. Tianjin University of Technology,Tianjin 300384,China

Received:2023-03-08 Online:2023-03-25 Published:2023-12-27

摘要/Abstract

摘要： 闪蒸气压缩机组作为海洋油气资源开采过程中的重要装置,因存在较高的故障率而受到广泛关注,其实时的故障诊断具有重要意义。为此,通过对机组中存在的常见故障类型和现有的诊断技术进行归纳,设计了一种以LabVIEW为主体框架的闪蒸气压缩机组实时故障诊断系统,其能够有效地用于进行机组内关于洗涤器、压缩机、冷却器和控制阀等设备的全局故障分析识别。该系统基于多数据分析的逻辑树模型建立,其中包含多种数据处理分析方法,适合用来对机组运行的温度、压力和液位数据进行处理分析,从而实现机组内各装置的故障诊断。

关键词: 闪蒸气压缩机组, 故障诊断, LabVIEW, 数据处理

Abstract: Flash steam compressor unit,as an important part in the exploitation of offshore oil and gas resources,has attracted extensive attention because of its high failure rate. Real-time fault diagnosis is of great significance. Therefore, this paper summarizes the common fault types and existing diagnosis technologies in the unit,and designs a real-time fault diagnosis system of flash steam compressor unit based on LabVIEW,which can effectively realize the global fault analysis and identification of scrubber,compressor,cooler and control valve in the unit. The system establishes a logic tree model based on multi data analysis for fault diagnosis and identification of the unit,and the model includes a variety of data processing and analysis methods to process and analyze the temperature,pressure and liquid level data in the unit,so as to realize the fault diagnosis of each device in the unit.

Key words: flash steam compressor unit, fault diagnosis, LabVIEW, data processing

中图分类号:

TH45

邓欣, 庄继泽, 杨波, 牛志刚, 高强, 李大华. 闪蒸气压缩机组故障诊断系统研究[J]. 天津科技, 2023, 50(3): 23-30.

DENG Xin, ZHUANG Jize, YANG Bo, NIU Zhigang, GAO Qiang, LI Dahua. Research on Fault Diagnosis System of Flash Steam Compressor Unit[J]. TIANJIN SCIENCE & TECHNOLOGY, 2023, 50(3): 23-30.

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