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高低压成套电气设备绝缘性能检测与故障诊断技术分析与案例应用 被引量:1

Analysis and Case Application of Insulation Performance Detection and Fault Diagnosis Technology for High and Low Voltage Switchgear
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摘要 针对高低压成套电气设备绝缘性能检测与故障诊断技术展开研究,旨在解决传统检测方法在复杂工况下的应用局限。通过分析绝缘材料特性、主要故障类型及其危害,系统阐述了绝缘电阻测试、局部放电检测、介质损耗角正切测量、超声波检测、光学检测、脉冲电流检测、高频电流互感器检测及超高频检测等多元检测方法。在此基础上,提出基于信号分析、人工智能与多传感器融合的先进故障诊断技术,并通过实际案例验证了其有效性。研究结果表明,多传感器融合的综合诊断技术可显著提升故障检测的准确性与效率,减少设备跳闸次数,降低维护成本,增强设备运行可靠性。本研究为高低压成套电气设备绝缘性能检测与故障诊断的优化提供了理论依据与实践参考,具有重要的工程应用价值。 Insulation performance testing and fault diagnosis technology for high and low voltage complete electrical equipment is analyzed to address the application limitations of traditional testing methods under complex operating conditions.By analyzing the characteristics,main fault types and hazards of insulation materials,systematic introduction is given on insulation resistance detection,partial discharge detection,dielectric loss angle tangent measurement,ultrasonic detection,optical detection,pulse current detection,high frequency current transformer detection and UHF detection and other detection methods.On this basis,advanced fault diagnosis technology based on signal analysis,artificial intelligence and multi-sensor fusion is proposed,and its effectiveness is verified by practical cases.The research results show that the comprehensive diagnosis technology based on multi-sensor fusion can significantly improve the accuracy and efficiency of fault detection,reduce the number of equipment trips,reduce maintenance costs,and improve the reliability of equipment operation.The research provides theoretical basis and practical reference for optimizing insulation performance detection and fault diagnosis of complete sets of high and low voltage electrical equipment,and has important engineering application value.
作者 郭敬旺 张洪文 彭智绪 Guo Jingwang;Zhang Hongwen;Peng Zhixu(Guangzhou Yibian Electric Equipment Co.,Ltd.,Guangzhou 511450,China)
出处 《机电工程技术》 2025年第23期158-164,共7页 Mechanical & Electrical Engineering Technology
关键词 高低压成套电气设备 绝缘性能检测 故障诊断 局部放电 多传感器融合 人工智能 high and low voltage switchgear insulation performance detection fault diagnosis partial discharge multi-sensor fusion artificial intelligence
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