High-frequency Time-series Data Computing System and Its Application in Insulated Gate Bipolar Transistor Fault Diagnosis of Flexible DC Transmission Station

CHEN Shijia; SHI Yingjie; SHI Jinwei; ZHOU Chun; ZHOU Shijie; MA Yuankui

doi:10.7500/AEPS20250903002

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High-frequency Time-series Data Computing System and Its Application in Insulated Gate Bipolar Transistor Fault Diagnosis of Flexible DC Transmission Station

更新时间：2026-09-23

- High-frequency Time-series Data Computing System and Its Application in Insulated Gate Bipolar Transistor Fault Diagnosis of Flexible DC Transmission Station
- Automation of Electric Power Systems Pages: 1-14(2026)
- 作者机构：
  
  1.南京南瑞瑞中数据股份有限公司，江苏省南京市 211106
  2.国网电力科学研究院有限公司（南瑞集团有限公司），江苏省南京市 211106
- 作者简介：
- 基金信息：
  
  Nanjing NARI Digital Service Co., Ltd(524623250004)
- DOI：10.7500/AEPS20250903002
  CLC：
- Received：03 September 2025，
  
  Revised：2026-02-12，
  
  Online First：25 June 2026，
- 稿件说明：
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陈诗佳,史英杰,史金伟等.高频时序数据计算系统及其在柔直站IGBT故障诊断中的应用[J/OL].电力系统自动化, http://dx.doi.org/10.7500/AEPS20250903002.

CHEN Shijia,SHI Yingjie,SHI Jinwei,et al.High-frequency Time-series Data Computing System and Its Application in Insulated Gate Bipolar Transistor Fault Diagnosis of Flexible DC Transmission Station[J/OL].Automation of Electric Power Systems, http://dx.doi.org/10.7500/AEPS20250903002.
陈诗佳,史英杰,史金伟等.高频时序数据计算系统及其在柔直站IGBT故障诊断中的应用[J/OL].电力系统自动化, http://dx.doi.org/10.7500/AEPS20250903002. DOI：

CHEN Shijia,SHI Yingjie,SHI Jinwei,et al.High-frequency Time-series Data Computing System and Its Application in Insulated Gate Bipolar Transistor Fault Diagnosis of Flexible DC Transmission Station[J/OL].Automation of Electric Power Systems, http://dx.doi.org/10.7500/AEPS20250903002. DOI：

摘要

在柔性直流输电站（简称柔直站）中，高频时序数据的计算处理能力是保障以绝缘栅双极型晶体管（IGBT）为代表的关键器件安全可靠运行的关键。传统计算方法在处理具有高频特征的IGBT故障录波数据时，常因实时性不足、时间对齐误差大等问题，难以满足快速故障诊断与隔离的需求。为此，文中面向柔直站IGBT高频监测与故障诊断场景，提出一种高频时序数据计算系统。该系统采用双缓冲乱序纠偏方法来保障高吞吐数据完整对齐，设计流式动态延迟计算引擎以实现微秒级断面处理，并引入可重入计算窗口校验机制来提升结果可靠性。实验结果表明，该系统在IGBT故障诊断等应用场景中能显著提高数据计算的实时性与准确性，为柔直站关键器件状态监测与快速故障隔离提供有效支持。

Abstract

In a flexible DC transmission station

the computing and processing capability of high-frequency time-series data is critical to ensuring the safe and reliable operation of key devices represented by insulated gate bipolar transistors (IGBTs). When handling high-frequency IGBT fault recording data

traditional computing methods often suffer from insufficient real-time performance and large time alignment errors

making it difficult to meet the requirements for rapid fault diagnosis and isolation. To address this issue

this paper proposes a high-frequency time-series data computing system for the scenario of high-frequency monitoring and fault diagnosis of IGBTs in flexible DC transmission stations. The system adopts a double-buffer out-of-order correction method to guarantee complete alignment of high-throughput data

designs a streaming dynamic delay computation engine to achieve microsecond-scale snapshot processing

and introduces a reentrant computation window verification mechanism to improve result reliability. Experimental results show that the proposed system can significantly enhance the real-time performance and accuracy of data computation in application scenarios such as IGBT fault diagnosis

and provides effective support for condition monitoring and rapid fault isolation of key devices in flexible DC transmission stations.

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