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Research on the Defect Detection Technology of Abnormal Vibration of GIS Equipment Based on Acoustic Emission Analysis Technology

机译:基于声发射分析技术的GIS设备异常振动缺陷检测技术研究

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摘要

Mechanical fault is one of the main faults of GIS equipment. The traditional detection methods based on artificial hearing and touch, rely heavily on personal experience, with low reliability. The fault can only be discovered when the vibration intensity is high, which brings great security risks to the power grid. Based on the analysis of the vibration mechanism of GIS equipment, an portable defect detection device of abnormal vibration of GIS equipment is developed, which can detect potential mechanical defects of GIS equipment in time, and effectively guide maintenance work to ensure the safety and stability of GIS equipment. The acceleration sensor is used to obtain the vibration signal of the GIS shell, and the characteristics of the vibration signal waveform are extracted through the FFT algorithm and the VMD algorithm. The field test results show that this device can accurately locate the abnormal vibration of GIS equipment and distinguish the defect types.
机译:机械故障是GIS设备的主要故障之一。 基于人工听力和触摸的传统检测方法,严重依赖个人经验,可靠性低。 只有在振动强度高时才能发现故障,这为电网带来了很大的安全风险。 基于GIS设备的振动机制的分析,开发了GIS设备异常振动的便携式缺陷检测装置,可以及时检测GIS设备的潜在机械缺陷,有效地指导维护工作,以确保安全性和稳定性 GIS设备。 加速度传感器用于获得GIS壳的振动信号,并且通过FFT算法和VMD算法提取振动信号波形的特性。 现场测试结果表明,该设备可以准确地定位GIS设备的异常振动并区分缺陷类型。

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