电力变压器的电气诊断技术:方法,仪器和研究挑战的全面审查
Peter Mwinisin1, Alessandro Mingotti1, Lorenzo Peretto1
1Department of Electrical, Electronic, and Information Engineering (DEI), University of Bologna, 40136 Bologna, Italy.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
本指南回顾了用于评估功率变压器状态的电气诊断方法,涵盖了部分放电测试和人工智能驱动分析等技术. 这是它它它它.
科学领域:
- 电气工程 电气工程
- 材料科学 材料科学 材料科学
- 状态监控 状态监控
背景情况:
- 电力变压器是电网中的关键组件,需要进行 robust 状态评估.
- 传统的诊断方法已经很成熟,但不断寻求进步.
- 早期检测故障对于防止灾难性故障和确保电网可靠性至关重要.
研究的目的:
- 为电力变压器提供电气诊断技术的全面概述.
- 详细介绍每个方法的仪器,原理,应用,优势和局限性.
- 突出新兴趋势,包括混合方法和AI在故障检测中.
主要方法:
- 审查已建立的电气诊断技术:频率响应分析,部分放电测试,介电散射因子 (tan delta),直流绝缘电阻,极化指数,变压器转速率测试,恢复电压测量,极化-去极化电流,频域光谱,断电压测试和功率因子/电容性测试.
- 探索过去十年不太常见的技术.
- 分析新兴趋势,如混合诊断方法和人工智能驱动的数据分析.
主要成果:
- 详细检查各种诊断方法的原则,仪器,应用,优点和缺点.
- 发现越来越多的综合诊断策略趋势.
- 强调人工智能在分析诊断数据以提高故障检测方面的作用越来越大.
结论:
- 该研究为研究人员和电力变压器诊断领域的专业人士提供了结构化的参考资料.
- 它强调了向复杂的,数据驱动的诊断方法的演变.
- 概述了未来的研究方向,促进了变压器状况评估的进步.
关键词:
人工智能的人工智能是人工智能.状态监控 状态监控 状态监控介电响应分析 介电响应分析电气诊断系统 电气诊断系统频率响应分析 (FRA) 频率响应分析仪器仪表仪器仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪表仪器仪表仪表仪器仪表仪表仪表仪表仪器仪表仪器仪表仪表仪器仪表仪表仪表仪器仪表仪表仪表仪表仪表仪表仪表仪表仪器仪表仪器仪表仪表仪器仪表仪器仪表仪器仪表仪器部分放电测量的测量电力变压器的功率变压器丹丹三角洲的三角洲更多相关视频
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