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面向数字孪生的水轮发电机故障诊断方法及应用

宋连会 王旭 刘雷

人民长江2025,Vol.56Issue(3):207-213,7.
人民长江2025,Vol.56Issue(3):207-213,7.DOI:10.16232/j.cnki.1001-4179.2025.03.028

面向数字孪生的水轮发电机故障诊断方法及应用

Digital twins oriented fault diagnosis method for hydro-generators and its application

宋连会 1王旭 1刘雷2

作者信息

  • 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
  • 折叠

摘要

Abstract

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 com-prehensively 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 opera-tors 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.

关键词

水轮发电机/故障诊断/数字孪生/三维模型

Key words

hydro-generator/fault diagnosis/digital twins/3D model

分类

建筑与水利

引用本文复制引用

宋连会,王旭,刘雷..面向数字孪生的水轮发电机故障诊断方法及应用[J].人民长江,2025,56(3):207-213,7.

基金项目

湖北省自然科学基金联合基金项目(2022CFD167) (2022CFD167)

云南华电发电有限公司科技项目(JZ2023/D24) (JZ2023/D24)

人民长江

OA北大核心

1001-4179

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