卷积神经网络在电力设备局部放电频谱识别中的应用

IF 1.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Feng-Chang Gu
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引用次数: 1

摘要

局部放电(PD)检测用于评估高压设备的绝缘状态。传统PD识别最具挑战性的方面是从放电信号中提取特征。因此,本研究将视觉几何组-19(VGG-19)模型应用于气体绝缘开关设备(GIS)局部放电图像识别。一个高频电流互感器和一个LDP-5感应传感器测量了15 kV GIS发出的局部放电电信号。接下来,通过希尔伯特变换在时域和频域中获得希尔伯特能谱。与相位分辨PD模式相比,希尔伯特谱可以表示随时间变化的能量和瞬时频率。最后,将VGG-19模型应用于局部放电模式识别。为了验证,使用神经网络方法将其识别性能与分形理论的识别性能进行了比较。VGG-19方法简单明了,具有较高的局部放电识别率,从而使设备制造商能够在组装或操作过程中快速验证GIS的绝缘性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Application of the convolutional neural network in partial discharge spectrum recognition of power apparatus

Application of the convolutional neural network in partial discharge spectrum recognition of power apparatus

Partial discharge (PD) detection is used to evaluate the insulation status of high-voltage equipment. The most challenging aspect of traditional PD recognition is extracting features from the discharge signal. Accordingly, this study applied the visual geometry group-19 (VGG-19) model to gas-insulated switchgear (GIS) PD image recognition. A high frequency current transformer and an LDP-5 inductive sensor measured PD electrical signals emitted by 15-kV GIS. Next, the Hilbert energy spectrum was obtained by Hilbert transform in the time and frequency domains. Compared with a phase-resolved PD pattern, the Hilbert spectrum can represent the energy and instantaneous frequency with the time variable. Finally, the VGG-19 model was applied for PD pattern recognition. For validation, its recognition performance was compared with that of a fractal theory by using a neural network method. The VGG-19 method is straightforward and has a high PD recognition rate, thereby enabling equipment manufacturers to quickly verify the insulation of GIS during assembly or operation.

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来源期刊
Iet Science Measurement & Technology
Iet Science Measurement & Technology 工程技术-工程:电子与电气
CiteScore
4.30
自引率
7.10%
发文量
41
审稿时长
7.5 months
期刊介绍: IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.The emphasis of the journal is on theory, simulation methodologies and measurement techniques. The major themes of the journal are: - electromagnetism including electromagnetic theory, computational electromagnetics and EMC - properties and applications of dielectric, magnetic, magneto-optic, piezoelectric materials down to the nanometre scale - measurement and instrumentation including sensors, actuators, medical instrumentation, fundamentals of measurement including measurement standards, uncertainty, dissemination and calibration Applications are welcome for illustrative purposes but the novelty and originality should focus on the proposed new methods.
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