广东电力2016，Vol.29Issue(1)：11-16,6.DOI:10.3969/j.issn.1007-290X.2016.01.003
基于改进经验模态分解和谱峭度法的变压器振动故障特征提取
Transformer Vibration Fault Feature Extraction Based on Improved Empirical Mode Decomposition and Spectral Kurtosis
陈东毅 1陈杰辰 2李冲2
作者信息
- 1. 福州大学 电气工程与自动化学院，福建 福州 350116
- 2. 福建省电力有限公司三明供电公司，福建 三明 365000
- 折叠
摘要
Abstract
In allusion to the characteristic of transformer vibration fault signal being easy to be covered by strong background noise,a kind of transformer vibration fault feature extraction method based on improved empirical mode decomposition (EMD)and spectral kurtosis is proposed.Firstly,EMD method is used for decomposing original vibration fault signals and getting a series of intrinsic mode function (IMF)components,a combination method of using energy moment ratio and vari-ance contribution is used for EMD denoising processing on sampling signals and eliminating false components in EMD.Then restricting algorithm is used for extract true IMF components and spectral kurtosis is used to extract vibration fault feature frequency.Finally,simulation on engineering practical signals is taken for an example and MATLAB simulation is used for verifying validity of this extraction method for transformer vibration fault feature.关键词
改进经验模态分解/谱峭度/振动信号/故障特征提取Key words
improved empirical mode decomposition/spectral kurtosis/vibration signal/fault feature extraction分类
信息技术与安全科学引用本文复制引用
陈东毅,陈杰辰,李冲..基于改进经验模态分解和谱峭度法的变压器振动故障特征提取[J].广东电力,2016,29(1):11-16,6.
