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作 者:宋连会 王旭 刘雷 SONG Lianhui;WANG Xu;LIU Lei(Huadian Jinsha River Middle Reaches Hydropower Development Co.,Ltd.,Kunming 650025,China;China Yangtze Power Co.,Ltd.,Yichang 443133,China)
机构地区:[1]云南华电金沙江中游水电开发有限公司,云南昆明650025 [2]中国长江电力股份有限公司,湖北宜昌443133
出 处:《人民长江》2025年第3期207-213,共7页Yangtze River
基 金:湖北省自然科学基金联合基金项目(2022CFD167);云南华电发电有限公司科技项目(JZ2023/D24)。
摘 要:水轮发电机作为水电站的核心设备,其运行效率和健康管理水平对电站的整体性能至关重要。传统的故障诊断方法难以全面反映设备状态,存在诊断速度慢、精度低以及故障定位不准确等问题,无法满足现代电站运营管理的需求。为此,提出了一种基于数字孪生的水轮发电机故障诊断新方法。该方法通过构建包括三维物理模型、运行机理模型和数据驱动模型在内的数字孪生模型,利用Unity 3D引擎开发故障诊断系统,实现了对故障诊断结果和检修流程的三维可视化。基于该方法,开发了水轮发电机故障诊断数字孪生系统。结果表明,该系统不仅为电站运维人员提供了直观、快速的故障分析与维修建议,还有效提升了电站的运维效率以及智能化、数字化管理水平,展现了数字孪生技术在水电设备管理中的巨大潜力。As the core equipment of hydropower stations,the operational efficiency and health management level of hydroelectric generators are crucial to the overall performance of hydropower stations.Traditional fault diagnosis methods are inadequate in comprehensively reflecting the equipment status,suffering from slow diagnosis speed,low accuracy,and inaccurate fault localization,which fail to meet the demands of modern power station operation management.To address these issues,a novel fault diagnosis method for hydroelectric generators based on digital twin technology is proposed.This method constructs a digital twin model that includes a three-dimensional physical model,an operational mechanism model,and a data-driven model.Utilizing the Unity 3D engine,a fault diagnosis system is developed,enabling three-dimensional visualization of fault diagnosis results and maintenance procedures.This approach not only provides intuitive and rapid fault analysis and maintenance recommendations for station operators but also significantly enhances the operational efficiency and intelligent,digital management level of the station,demonstrating the immense potential of digital twin technology in the management of hydropower equipment.
分 类 号:TV74[水利工程—水利水电工程] TM62[电气工程—电力系统及自动化]
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