一种基于磁场分布的间转短路故障诊断方法
1College of Information Science and Engineering, Northeastern University, Shenyang, 110819, People's Republic of China.
Scientific reports
|May 19, 2025
概括
这项研究引入了一种新模型,用于检测功率变压器中交转间短路故障. 该方法使用磁场变化和机器学习准确地确定故障位置.
科学领域:
- 电气工程 电气工程
- 材料科学 材料科学 材料科学
- 数据科学数据科学数据科学
背景情况:
- 间转短路 (ITSC) 故障是功率变压器绕线的关键和频繁故障.
- 使用磁流泄漏 (MFL) 进行排线绝缘状态的定量分析具有挑战性.
- 准确的故障定位对于可靠的电力系统运行至关重要.
研究的目的:
- 提出一种新的磁电空间状态模型,将断裂电流与泄漏磁场变化联系起来.
- 开发一个数据驱动的故障定位框架,用于电力变压器绕线.
- 为了实现精确和非侵入性监测卷轴绝缘状态.
主要方法:
- 开发一个磁电空间状态模型.
- 实施基于数据的故障定位框架,使用递归特征消除 (RFE),斯皮尔曼相关性分析和支持向量机 (SVM) 分类.
- 在3千瓦的干式变压器上进行实验验证,使用基于有限元法 (FEM) 的信号增强.
主要成果:
- 在额定负载下,通过20个霍尔效应传感器实现了97.4%的故障定位精度.
- 在无负荷条件下保持了92.3%的准确性,证明了对微弱刺激和噪声的稳定性.
- 优化的传感器布局提高了空间灵敏度,并最大限度地降低了硬件复杂性.
结论:
- 拟议的方法为电力变压器中绝缘监控提供了一个可扩展和非侵入性的方法.
- 磁电空间状态模型有效地将断裂电流与磁场变化联系起来.
- 数据驱动的框架在实际应用中表现出高精度和稳定性.
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