储能科学与技术 ›› 2024, Vol. 13 ›› Issue (8): 2835-2838.doi: 10.19799/j.cnki.2095-4239.2024.0694

• 储能测试与评价 • 上一篇    

数据驱动在电力储能设备声纹识别和监测诊断中的应用

刘俊宏()   

  1. 国网西藏电力有限公司，西藏 拉萨 850000
  • 收稿日期:2024-07-26 修回日期:2024-08-02 出版日期:2024-08-28 发布日期:2024-08-15
  • 作者简介:刘俊宏（1991—），男，本科，工程师，研究方向为营销项目管理、电能计量管理，E-mail：liujunhong2024@163.com。

Application of data-driven technology in voiceprint recognition and monitoring diagnosis of power energy storage equipment

Junhong LIU()   

  1. State Gtid Xizang Electric Power Company Limited, Lhasa 850000, Xizang, China
  • Received:2024-07-26 Revised:2024-08-02 Online:2024-08-28 Published:2024-08-15

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摘要：

随着电力储能技术的快速发展，对储能设备的运行安全与性能稳定性要求日益提高。声纹识别作为一种非接触式的监测手段，在电力储能设备的故障诊断中展现出巨大潜力。本文深入探讨了数据驱动在电力储能设备声纹识别和监测诊断中的应用研究。首先分析了数据驱动技术的研究进展以及市场常见技术类别；然后基于数据驱动，分析了储能设备声纹识别监测技术的发展情况。包括电力储能设备声纹样本采集和电力储能设备声纹信号的处理技术，最后依靠处理数据即可建立识别诊断模型，实现故障诊断。

关键词: 故障诊断, 储能设备, 数据驱动

Abstract:

With the rapid development of electric energy storage technology, the requirements for the operation safety and performance stability of energy storage equipment are increasing day by day. Voiceprint recognition, as a non-contact monitoring method, has shown great potential in the fault diagnosis of power storage equipment. This article delves into the research progress of data-driven applications in voiceprint recognition and monitoring diagnosis of power energy storage equipment. The article first analyzes the research progress of data-driven technology and common technology categories in the market; Then, based on data-driven analysis, the development of voiceprint recognition monitoring technology for energy storage equipment was analyzed. This includes techniques for collecting voiceprint samples from power energy storage equipment and processing voiceprint signals from power energy storage equipment. By relying on the final processed data, a recognition and diagnosis model can be established to achieve fault diagnosis.

Key words: fault diagnosis, energy storage equipment, data-driven

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