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可逆式抽水蓄能机组故障诊断方法及应用

李晓波 张利慧 云杰 俎海东 何成兵

内蒙古电力技术2025,Vol.43Issue(3):54-61,8.
内蒙古电力技术2025,Vol.43Issue(3):54-61,8.DOI:10.19929/j.cnki.nmgdljs.2025.0035

可逆式抽水蓄能机组故障诊断方法及应用

Fault Diagnosis Method of Reversible Pumped Storage Units and Its Application

李晓波 1张利慧 1云杰 1俎海东 1何成兵2

作者信息

  • 1. 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司,呼和浩特 010020
  • 2. 华北电力大学,北京 102206
  • 折叠

摘要

Abstract

This paper proposes a fault diagnosis method for reversible pumped storage units.Firstly,a causal diagram network is constructed using the attribute relationship between unit faults and symptoms.By introducing hidden variable nodes and probability assignments,a fault diagnosis model based on structural causal model(SCM)is established that follows the Leaky Noisy-Or assumption.Then,a counterfactual reasoning diagnosis strategy based on twin network is proposed.According to the topology structure of the fault model,combined with the construction and reduction of twin network,counterfactual reasoning is carried out to calculate the sufficient and necessary factors of the fault candidate set.All candidate faults are sorted to obtain a clear fault causes.Finally,taking the rotor thermal bending fault of a reversible pumped storage unit as an example,the process of establishing a fault diagnosis model based on causal graph network and the counterfactual reasoning diagnosis method based on twin network are introduced in detail.The diagnosis results are consistent with the actual fault cause of the unit,therefore proving the effectiveness of the fault diagnosis method proposed in this paper.

关键词

可逆式抽水蓄能机组/故障诊断/结构性因果模型/反事实推理/孪生网络

Key words

reversible pumped storage unit/fault diagnosis/structural causal model(SCM)/counterfactual reasoning/twin network

分类

信息技术与安全科学

引用本文复制引用

李晓波,张利慧,云杰,俎海东,何成兵..可逆式抽水蓄能机组故障诊断方法及应用[J].内蒙古电力技术,2025,43(3):54-61,8.

基金项目

内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司科技项目"抽水蓄能机组全工况水力激振分析与对策研究"(2023-ZC-10) (集团)

内蒙古电力技术

1008-6218

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