论文部分内容阅读
介绍了大型旋转机械状态监测与故障预报系统的结构、功能和关键技术。该系统已成功地应用于油田注水站工业现场，能对大型旋转机组的机械动态特性及温度、压力、流量、液位、电量、润滑油等进行在线实时状态监测和故障预报。系统采用人工智能、专家系统对工作机组进行故障分析、故障追记、故障诊断，并能为机组进行趋势预示以及状态维护提供信息
The structure, functions and key technologies of the condition monitoring and fault forecasting system for large rotating machinery are introduced. The system has been successfully applied to the oilfield waterflooding station industrial site, which can monitor the mechanical dynamic characteristics and temperature, pressure, flow, level, electricity, lubricating oil and other real-time status monitoring and fault prediction of large rotating machine. The system uses artificial intelligence and expert system to analyze the working units for failure, record the faults, diagnose the faults and provide information for the trend forecast and status maintenance of the units