基于振动监测和支持向量机的海洋石油离心泵智能预警技术研究

目前海洋石油正在建设智能油田、数字油田,提升设备管理的数字化和智能化水平。该文针对如外输泵、注水泵等重要性较强的A类关键离心泵,分析常见故障并采用基于振动监测技术实现离心泵在线监测系统,保障了状态数据的实时采集。梳理常见故障的特征情况,建立基于支持向量机优化概率密度函数的智能预警模型,通过数据测试抓取特征参数,嵌入在线监测系统。通过现场应用,可实现对海洋石油离心泵的有效智能预警,提升了海洋石油的关键设备的数字化监测管理水平。

Research on intelligent early warning technology of offshore centrifugal pump based on vibration monitoring and support vector machine

At present,offshore oil is building intelligent and digital oil fields.For the key pumps with high proportion and strong importance of offshore oil,common faults are analyzed,and the pump on-line monitoring system based on vibration monitoring is adopted to ensure the real-time acquisition of state data.Combing the characteristics of common faults,establishing an intelligent early warning model based on support vector machine and embedding it into the on-line monitoring system can realize effective intelligent early warning of offshore oil pumps through data testing and application.