基于神经网络的海上离心泵智能预警诊断技术研究

海上石油的发展将推动智能油田建设,加快数字化能力提升。针对海洋石油的开采环境和机组特点,建立了海上离心泵的在线监测系统。设计基于神经网络技术的智能预警诊断算法模型,与海洋石油设备在线监测系统进行融合,搭建基于在线监测和神经网络的海洋石油关键机泵的智能诊断系统。通过实验测试和应用测试表明,该模型能够可靠地实现对海上离心泵故障的智能预警诊断。

Research on Intelligent Early Warning and Diagnosis Technology of Offshore Centrifugal Pump Based on Neural Network

As offshore oil development is sure to promote the construction of intelligent oil fields and accelerate the improvement of digital capacity,the on-line monitoring monitoring system of key pumps has been established in line with the environment and unit characteristics of offshore oil.An intelligent early warning and diagnosis algorithm model based on neural network technology is designed,with which the online system of offshore oil equipment is integrated,and an intelligent diagnosis system of offshore oil key pump based on online monitoring and neural network is built.The experimental and application tests show that the intelligent algorithm model based on neural network can realize the intelligent early warning and diagnosis of pump with reliability.