超越可见故障:使用症状描述转移诊断电源断路器的零射击诊断
Qiuyu Yang1, Zhenlin Zhai2, Yuyi Lin2
1School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou, Fujian 350118, China; School of Power and Mechanical Engineering, Wuhan University, Wuhan, Hubei 430072, China.
这项研究引入了一种新的零射击故障诊断方法,用于电源断路器 (CB),可以克服数据限制. 它使用症状描述和信号分析准确识别未见故障,改善电力系统维护.
科学领域:
- 电气工程 电气工程
- 电力系统分析 分析 分析
- 在工程领域的人工智能.
背景情况:
- 电源断路器 (CB) 的准确故障诊断对于电网稳定性至关重要.
- 传统的方法与各种故障类型和有限的标记数据为看不见的故障作斗争.
研究的目的:
- 开发一种零射击学习方法,用于电源断路器故障诊断.
- 以有限的数据来解决诊断未见故障类别的挑战.
主要方法:
- 引入了基于转移的症状描述零射击故障诊断 (SDT-ZSFD).
- 开发了一个故障症状描述 (FSD) 框架,用于知识转移.
- 利用电流和加速度信号,用于特征提取稀疏的主要组件分析.
主要成果:
- 实现了令人满意的识别率来诊断未见的故障.
- 通过FSD框架成功展示了有效的零射击学习.
- 克服了传统故障诊断方法固有的数据稀缺问题.
结论:
- SDT-ZSFD方法为CB故障诊断提供了可靠的解决方案,特别是在看不见的故障中.
- 这种方法增强了电力系统维护中的实际应用.
- 奠定了基于症状的零射击诊断技术未来进步的基础.
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