数字孪生驱动的水电机组轴系智能维护  

Intelligent maintenance of hydro-generator unit shafting driven by digital twin

作　　者：李佰霖 陈思远 唐淞 付文龙 LI Bailin;CHEN Siyuan;TANG Song;FU Wenlong(College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,China;Hubei Key Laboratory of Cascaded Hydropower Stations Operation&Control,China Three Gorges University,Yichang 443002,China)

机构地区：[1]三峡大学电气与新能源学院,湖北宜昌443002 [2]三峡大学梯级水电站运行与控制湖北省重点实验室,湖北宜昌443002

出　　处：《振动与冲击》2024年第15期189-199,共11页Journal of Vibration and Shock

基　　金：国家自然科学基金项目(51741907);湖北省水电机械设备设计与维护重点实验室开放基金(2021KJX12)。

摘　　要：水电站设备运维数字化智能化是水电站高效运行的重要途径,相关研究处于初步阶段。学者们对其基本框架、内涵和技术路线展开了比较全面的阐述,但针对数字孪生模型的可实施性低、水电机组轴系故障库较少和轴系智能化维护水平较低等问题,相关内容还有待进一步研究。为了提高机组轴系智能化维护程度,该文以水力发电机组轴系为研究对象,构建其数字孪生驱动的智能维护模型及其结构,依托所提模型实现了以轴心轨迹故障库建立、轴系故障诊断、轴系可视化维护为主线的循环过程数字化。通过应用实践表明了数字孪生驱动的水电机组轴系智能维护的可行性,提高了水电智能化维护水平。Digital and intelligent operation and maintenance of hydropower station equipment is an important way for efficient operation of hydropower stations,and related study is still in preliminary stage.Scholars have provided a comprehensive explanation of its basic framework,connotation,and technical route,but further study is needed aiming at problems of low feasibility of digital twin model,less fault libraries for hydropower unit shafting and lower level of shafting intelligent maintenance.Here,to improve intelligent maintenance level of hydropower unit shafting,taking a hydropower unit shafting as the study object,its digital twin driven intelligent maintenance model and structure was built.Using this model,the digitalization of the loop process was realized with establishing axle center trajectory fault library,shafting fault diagnosis and shafting visual maintenance as the main line.Through practical applications,the feasibility of intelligent maintenance of hydropower unit shafting driven by digital twin was demonstrated to improve intelligent maintenance level of hydroelectric power.

关 键 词：水电机组 数字孪生 智能维护 轴系 故障库 

分 类 号：TV738[水利工程—水利水电工程] TM312[电气工程—电机] TM743