基于EMD算法的GIS机械振动信号分析

2016 3rd International Conference on Information Science and Control Engineering (ICISCE) Pub Date : 2016-07-08 DOI:10.1109/ICISCE.2016.186

Zhigang Wu, Bing Liu, Lijuan Wu, Shuai Ma, Bing Ren, Jiangtao Su, Yan Hou

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引用次数: 4

摘要

为了有效地检测气体绝缘开关设备(GIS)的机械状态，提出了经验模态变换(EMD)对其振动信号进行分析，得到其固有模态函数。基于功率谱密度函数和向量空间模型定义特征矩阵和相似矩阵，形成GIS机械故障判据。建立了螺钉松动和颗粒振动两种常见的GIS故障，验证了该方法的有效性和准确性。该方法对早期发现GIS的潜在故障并进行故障定位具有重要意义。

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Analysis of GIS Mechanical Vibration Signal Based on EMD Algorithm

In order to effectively detect the mechanical condition of Gas Insulated Switchgear (GIS), Empirical Mode Transform (EMD) is proposed to analyze the vibration signal, then Intrinsic Mode Function is obtained. Feature matrix and similarity matrix are defined based on the power spectral density function and vector space model, forming the criterion of GIS mechanical failure. Two common GIS failure like screws loosening and particle vibration are built, which has proved its effectiveness and precise. This method would be of significance to find out potential faults and fault positioning of GIS in early stage.

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来源期刊

2016 3rd International Conference on Information Science and Control Engineering (ICISCE)

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