储能科学与技术2024,Vol.13Issue(8) :2758-2760.DOI:10.19799/j.cnki.2095-4239.2024.0696

基于声纹特征的储能型变压器运维检测技术

Operation and maintenance detection technology for energy storage transformers based on voiceprint features

宋金伟 宣东海 王维佳 孙飞 宋彦
储能科学与技术2024,Vol.13Issue(8) :2758-2760.DOI:10.19799/j.cnki.2095-4239.2024.0696

基于声纹特征的储能型变压器运维检测技术

Operation and maintenance detection technology for energy storage transformers based on voiceprint features

宋金伟 1宣东海 1王维佳 2孙飞 2宋彦3
扫码查看

作者信息

  • 1. 国家电网有限公司大数据中心,北京 100052
  • 2. 安徽继远软件有限公司,安徽 合肥 230088
  • 3. 中国科学技术大学信息科学技术学院,安徽 合肥 230041
  • 折叠

摘要

噪声声纹情况可以提取大量储能变压器机械状态信息,基于声纹特征与振动信号成型分析法是变压器机械状态检测中较为先进的一种手段.对此,本文结合实际情况综述了声纹特征下储能型变压器的运维检测技术.首先结合实例分析了目前国内外常用优质的声纹振动检测技术研究发展情况,然后从绕组振动原理、铁心振动原理和直流偏磁下铁心振动情况三个方面分析储能变压器振动模型.最后归纳总结了各类变压器特征诊断办法,实现变压器的问题检测.

Abstract

The noise voiceprint situation can extract a large amount of mechanical status information of energy storage transformers.The method based on voiceprint features and vibration signal shaping analysis is a more advanced means in transformer mechanical status detection.This article summarizes the operation and maintenance detection techniques of energy storage transformers based on voiceprint characteristics,combined with practical situations.Firstly,the research and development status of commonly used high-quality voiceprint vibration detection technologies at home and abroad were analyzed through examples.Then,the vibration model of energy storage transformers was divided from three aspects:winding vibration principle,iron core vibration principle,and iron core vibration under DC bias magnetization.Finally,various transformer feature diagnosis methods were summarized to achieve transformer problem detection.

关键词

声纹特征/储能/变压器/振动

Key words

voiceprint features/energy storage/transformer/vibration

引用本文复制引用

基金项目

国网大数据中心科技项目(SGSJ0000SJJS2100079)

出版年

2024
储能科学与技术
化学工业出版社

储能科学与技术

CSTPCD北大核心
影响因子:0.852
ISSN:2095-4239
参考文献量3
段落导航相关论文