电源学报2025，Vol.23Issue(1)：251-258,8.DOI:10.13234/j.issn.2095-2805.2025.1.251
小波包变换与支持向量机的电力变压器故障诊断方法
Fault Diagnosis Method for Power Transformer Based on Wavelet Packet Transform and Support Vector Machine
黄道友 1任丽佳 2康健1
作者信息
- 1. 国网安徽省电力有限公司设备部,合肥 230022
- 2. 上海工程技术大学电子电气工程学院,上海 201620
- 折叠
摘要
Abstract
The traditional fault diagnosis methods for power transformers cannot detect the power faults accurately or ensure their normal operation.Therefore,a fault diagnosis method for power transformers based on wavelet packet transform and support vector machine(SVM)is proposed.For the power signal collected from a power transformer,the improved minimum noise fraction(MNF)transform denoising is used to denoise,and the noise matrix is estimated by the weighted neighborhood mean method.After the estimation,the improved MNF transform is used to effectively realize image dimensionality reduction and denoising,extract the signal characteristics,and divide the signal into low-and high-frequency part by means of wavelet packet transform to obtain the wavelet packet energy feature vector.The obtained wavelet packet energy feature vector is input into an SVM classifier,and the output results from the SVM classifier are used to realize the state recognition and fault diagnosis of power transformer.Experimental results show that the proposed method can effectively diagnose the faults in the power transformer,such as iron core short-circuit,coil interlayer short-circuit,bushing-to-ground breakdown,coil insulation resistance drop and bushing-to-bushing discharge,and the fault diagnosis accuracy was higher than 98.5%.关键词
小波包变换/电力变压器/故障诊断/支持向量机Key words
Wavelet packet transform/power transformer/fault diagnosis/support vector machine(SVM)分类
信息技术与安全科学引用本文复制引用
黄道友,任丽佳,康健..小波包变换与支持向量机的电力变压器故障诊断方法[J].电源学报,2025,23(1):251-258,8.
